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<h1 id="release-0-6-1">Release 0.6.1<a class="headerlink" href="#release-0-6-1" title="Link to this heading">¶</a></h1>
<p>statsmodels 0.6.1 is a bugfix release. All users are encouraged to upgrade to 0.6.1.</p>
<p>See the <a class="reference internal" href="#issues-list-06"><span class="std std-ref">list of fixed issues</span></a> for specific backported fixes.</p>
<h1 id="release-0-6-0">Release 0.6.0<a class="headerlink" href="#release-0-6-0" title="Link to this heading">¶</a></h1>
<p>statsmodels 0.6.0 is another large release. It is the result of the work of 37 authors over the last year and includes over 1500 commits. It contains many new features, improvements, and bug fixes detailed below.</p>
<p>See the <a class="reference internal" href="#issues-list-06"><span class="std std-ref">list of fixed issues</span></a> for specific closed issues.</p>
<p>The following major new features appear in this version.</p>
<h2 id="generalized-estimating-equations">Generalized Estimating Equations<a class="headerlink" href="#generalized-estimating-equations" title="Link to this heading">¶</a></h2>
<p>Generalized Estimating Equations (GEE) provide an approach to handling
dependent data in a regression analysis.  Dependent data arise
commonly in practice, such as in a longitudinal study where repeated
observations are collected on subjects. GEE can be viewed as an
extension of the generalized linear modeling (GLM) framework to the
dependent data setting.  The familiar GLM families such as the
Gaussian, Poisson, and logistic families can be used to accommodate
dependent variables with various distributions.</p>
<p>Here is an example of GEE Poisson regression in a data set with four
count-type repeated measures per subject, and three explanatory
covariates.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><code><span class="kn">import</span><span class="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
<span class="kn">import</span><span class="w"> </span><span class="nn">statsmodels.api</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">sm</span>
<span class="kn">import</span><span class="w"> </span><span class="nn">statsmodels.formula.api</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">smf</span>

<span class="n">data</span> <span class="o">=</span> <span class="n">sm</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">get_rdataset</span><span class="p">(</span><span class="s2">&quot;epil&quot;</span><span class="p">,</span> <span class="s2">&quot;MASS&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">data</span>

<span class="n">md</span> <span class="o">=</span> <span class="n">smf</span><span class="o">.</span><span class="n">gee</span><span class="p">(</span><span class="s2">&quot;y ~ age + trt + base&quot;</span><span class="p">,</span> <span class="s2">&quot;subject&quot;</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span>
             <span class="n">cov_struct</span><span class="o">=</span><span class="n">sm</span><span class="o">.</span><span class="n">cov_struct</span><span class="o">.</span><span class="n">Independence</span><span class="p">(),</span>
             <span class="n">family</span><span class="o">=</span><span class="n">sm</span><span class="o">.</span><span class="n">families</span><span class="o">.</span><span class="n">Poisson</span><span class="p">())</span>
<span class="n">mdf</span> <span class="o">=</span> <span class="n">md</span><span class="o">.</span><span class="n">fit</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="n">mdf</span><span class="o">.</span><span class="n">summary</span><span class="p">())</span>
</code></pre></div>
</div>
<p>The dependence structure in a GEE is treated as a nuisance parameter
and is modeled in terms of a “working dependence structure”.  The
statsmodels GEE implementation currently includes five working
dependence structures (independent, exchangeable, autoregressive,
nested, and a global odds ratio for working with categorical data).
Since the GEE estimates are not maximum likelihood estimates,
alternative approaches to some common inference procedures have been
developed.  The statsmodels GEE implementation currently provides
standard errors, Wald tests, score tests for arbitrary parameter
contrasts, and estimates and tests for marginal effects.  Several
forms of standard errors are provided, including robust standard
errors that are approximately correct even if the working dependence
structure is misspecified.</p>
<h2 id="seasonality-plots">Seasonality Plots<a class="headerlink" href="#seasonality-plots" title="Link to this heading">¶</a></h2>
<p>Adding functionality to look at seasonality in plots. Two new functions are <code class="xref py py-func docutils literal notranslate"><span class="pre">sm.graphics.tsa.month_plot</span></code> and <code class="xref py py-func docutils literal notranslate"><span class="pre">sm.graphics.tsa.quarter_plot</span></code>. Another function <code class="xref py py-func docutils literal notranslate"><span class="pre">sm.graphics.tsa.seasonal_plot</span></code> is available for power users.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><code><span class="kn">import</span><span class="w"> </span><span class="nn">statsmodels.api</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">sm</span>
<span class="kn">import</span><span class="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pd</span>

<span class="n">dta</span> <span class="o">=</span> <span class="n">sm</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">elnino</span><span class="o">.</span><span class="n">load_pandas</span><span class="p">()</span><span class="o">.</span><span class="n">data</span>
<span class="n">dta</span><span class="p">[</span><span class="s1">&#39;YEAR&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">dta</span><span class="o">.</span><span class="n">YEAR</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">int</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">str</span><span class="p">)</span>
<span class="n">dta</span> <span class="o">=</span> <span class="n">dta</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;YEAR&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">T</span><span class="o">.</span><span class="n">unstack</span><span class="p">()</span>
<span class="n">date_str</span> <span class="o">=</span> <span class="p">[</span><span class="sa">f</span><span class="s2">&quot;</span><span class="si">{</span><span class="n">yr</span><span class="si">}</span><span class="s2">-</span><span class="si">{</span><span class="n">mo</span><span class="si">}</span><span class="s2">-01&quot;</span> <span class="k">for</span> <span class="n">yr</span><span class="p">,</span> <span class="n">mo</span> <span class="ow">in</span> <span class="n">dta</span><span class="o">.</span><span class="n">index</span><span class="o">.</span><span class="n">values</span><span class="p">]</span>
<span class="n">dta</span><span class="o">.</span><span class="n">index</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DatetimeIndex</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="n">date_str</span><span class="p">,</span><span class="nb">format</span><span class="o">=</span><span class="s2">&quot;%Y-%b-</span><span class="si">%d</span><span class="s2">&quot;</span><span class="p">),</span> <span class="n">freq</span><span class="o">=</span><span class="s1">&#39;MS&#39;</span><span class="p">)</span>
<span class="n">fig</span> <span class="o">=</span> <span class="n">sm</span><span class="o">.</span><span class="n">tsa</span><span class="o">.</span><span class="n">graphics</span><span class="o">.</span><span class="n">month_plot</span><span class="p">(</span><span class="n">dta</span><span class="p">)</span>
</code></pre></div>
</div>
<h2 id="seasonal-decomposition">Seasonal Decomposition<a class="headerlink" href="#seasonal-decomposition" title="Link to this heading">¶</a></h2>
<p>We added a naive seasonal decomposition tool in the same vein as R’s <code class="docutils literal notranslate"><span class="pre">decompose</span></code>. This function can be found as <code class="xref py py-func docutils literal notranslate"><span class="pre">sm.tsa.seasonal_decompose</span></code>.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><code><span class="kn">import</span><span class="w"> </span><span class="nn">statsmodels.api</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">sm</span>

<span class="n">dta</span> <span class="o">=</span> <span class="n">sm</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">co2</span><span class="o">.</span><span class="n">load_pandas</span><span class="p">()</span><span class="o">.</span><span class="n">data</span>
<span class="c1"># deal with missing values. see issue</span>
<span class="n">co2</span> <span class="o">=</span> <span class="n">dta</span><span class="o">.</span><span class="n">co2</span><span class="o">.</span><span class="n">interpolate</span><span class="p">()</span>
<span class="n">res</span> <span class="o">=</span> <span class="n">sm</span><span class="o">.</span><span class="n">tsa</span><span class="o">.</span><span class="n">seasonal_decompose</span><span class="p">(</span><span class="n">co2</span><span class="p">)</span>
<span class="n">res</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
</code></pre></div>
</div>
<p>(<a class="reference download internal" download="" href="../_downloads/29d8ff7bd70cc5c89b8b938d14139bed/version0-6-1.py"><code class="xref download docutils literal notranslate"><span class="pre">Source</span> <span class="pre">code</span></code></a>, <a class="reference download internal" download="" href="../_downloads/1bdb27bd0ad5242107be945a3ae001ce/version0-6-1.png"><code class="xref download docutils literal notranslate"><span class="pre">png</span></code></a>, <a class="reference download internal" download="" href="../_downloads/902e751ea23a0f037a5e81b5bf98c3f9/version0-6-1.hires.png"><code class="xref download docutils literal notranslate"><span class="pre">hires.png</span></code></a>, <a class="reference download internal" download="" href="../_downloads/0f6cb47cbb1a6ac38736cbf799d9d455/version0-6-1.pdf"><code class="xref download docutils literal notranslate"><span class="pre">pdf</span></code></a>)</p>
<figure class="align-default">
<img alt="../_images/version0-6-1.png" class="plot-directive" src="../_images/version0-6-1.png" />
</figure>
<p>Addition of Linear Mixed Effects Models (MixedLM)</p>
<h2 id="linear-mixed-effects-models">Linear Mixed Effects Models<a class="headerlink" href="#linear-mixed-effects-models" title="Link to this heading">¶</a></h2>
<p>Linear Mixed Effects models are used for regression analyses involving
dependent data.  Such data arise when working with longitudinal and
other study designs in which multiple observations are made on each
subject.  Two specific mixed effects models are “random intercepts
models”, where all responses in a single group are additively shifted
by a value that is specific to the group, and “random slopes models”,
where the values follow a mean trajectory that is linear in observed
covariates, with both the slopes and intercept being specific to the
group.  The statsmodels MixedLM implementation allows arbitrary random
effects design matrices to be specified for the groups, so these and
other types of random effects models can all be fit.</p>
<p>Here is an example of fitting a random intercepts model to data from a
longitudinal study:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><code><span class="kn">import</span><span class="w"> </span><span class="nn">statsmodels.api</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">sm</span>
<span class="kn">import</span><span class="w"> </span><span class="nn">statsmodels.formula.api</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">smf</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">sm</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">get_rdataset</span><span class="p">(</span><span class="s1">&#39;dietox&#39;</span><span class="p">,</span> <span class="s1">&#39;geepack&#39;</span><span class="p">,</span> <span class="n">cache</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span><span class="o">.</span><span class="n">data</span>
<span class="n">md</span> <span class="o">=</span> <span class="n">smf</span><span class="o">.</span><span class="n">mixedlm</span><span class="p">(</span><span class="s2">&quot;Weight ~ Time&quot;</span><span class="p">,</span> <span class="n">data</span><span class="p">,</span> <span class="n">groups</span><span class="o">=</span><span class="n">data</span><span class="p">[</span><span class="s2">&quot;Pig&quot;</span><span class="p">])</span>
<span class="n">mdf</span> <span class="o">=</span> <span class="n">md</span><span class="o">.</span><span class="n">fit</span><span class="p">()</span>
<span class="nb">print</span><span class="p">(</span><span class="n">mdf</span><span class="o">.</span><span class="n">summary</span><span class="p">())</span>
</code></pre></div>
</div>
<p>The statsmodels LME framework currently supports post-estimation
inference via Wald tests and confidence intervals on the coefficients,
profile likelihood analysis, likelihood ratio testing, and AIC.  Some
limitations of the current implementation are that it does not support
structure more complex on the residual errors (they are always
homoscedastic), and it does not support crossed random effects.  We
hope to implement these features for the next release.</p>
<h2 id="wrapping-x-12-arima-x-13-arima">Wrapping X-12-ARIMA/X-13-ARIMA<a class="headerlink" href="#wrapping-x-12-arima-x-13-arima" title="Link to this heading">¶</a></h2>
<p>It is now possible to call out to X-12-ARIMA or X-13ARIMA-SEATS from statsmodels. These libraries must be installed separately.</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><code><span class="kn">import</span><span class="w"> </span><span class="nn">statsmodels.api</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">sm</span>

<span class="n">dta</span> <span class="o">=</span> <span class="n">sm</span><span class="o">.</span><span class="n">datasets</span><span class="o">.</span><span class="n">co2</span><span class="o">.</span><span class="n">load_pandas</span><span class="p">()</span><span class="o">.</span><span class="n">data</span>
<span class="n">co2</span> <span class="o">=</span> <span class="n">dta</span><span class="o">.</span><span class="n">co2</span><span class="o">.</span><span class="n">interpolate</span><span class="p">()</span>
<span class="n">co2</span> <span class="o">=</span> <span class="n">co2</span><span class="o">.</span><span class="n">resample</span><span class="p">(</span><span class="s1">&#39;M&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">last</span><span class="p">()</span>

<span class="n">res</span> <span class="o">=</span> <span class="n">sm</span><span class="o">.</span><span class="n">tsa</span><span class="o">.</span><span class="n">x13_arima_select_order</span><span class="p">(</span><span class="n">dta</span><span class="o">.</span><span class="n">co2</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">res</span><span class="o">.</span><span class="n">order</span><span class="p">,</span> <span class="n">res</span><span class="o">.</span><span class="n">sorder</span><span class="p">)</span>

<span class="n">results</span> <span class="o">=</span> <span class="n">sm</span><span class="o">.</span><span class="n">tsa</span><span class="o">.</span><span class="n">x13_arima_analysis</span><span class="p">(</span><span class="n">co2</span><span class="p">)</span>

<span class="n">fig</span> <span class="o">=</span> <span class="n">results</span><span class="o">.</span><span class="n">plot</span><span class="p">()</span>
<span class="n">fig</span><span class="o">.</span><span class="n">set_size_inches</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span>
<span class="n">fig</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
</code></pre></div>
</div>
<h2 id="other-important-new-features">Other important new features<a class="headerlink" href="#other-important-new-features" title="Link to this heading">¶</a></h2>
<ul class="simple">
<li><p>The Kalman filter Cython code underlying AR(I)MA estimation has been substantially optimized. You can expect speed-ups of one to two orders of magnitude.</p></li>
<li><p>Added <code class="xref py py-func docutils literal notranslate"><span class="pre">sm.tsa.arma_order_select_ic</span></code>. A convenience function to quickly get the information criteria for use in tentative order selection of ARMA processes.</p></li>
<li><p>Plotting functions for timeseries is now imported under the <code class="docutils literal notranslate"><span class="pre">sm.tsa.graphics</span></code> namespace in addition to <code class="docutils literal notranslate"><span class="pre">sm.graphics.tsa</span></code>.</p></li>
<li><p>New <cite>distributions.ExpandedNormal</cite> class implements the Edgeworth expansion for weakly non-normal distributions.</p></li>
<li><p><strong>New datasets</strong>: Added new <a class="reference internal" href="../datasets/index.html#datasets"><span class="std std-ref">datasets</span></a> for examples. <code class="docutils literal notranslate"><span class="pre">sm.datasets.co2</span></code> is a univariate time-series dataset of weekly co2 readings. It exhibits a trend and seasonality and has missing values.</p></li>
<li><p>Added robust skewness and kurtosis estimators in <code class="xref py py-func docutils literal notranslate"><span class="pre">sm.stats.stattools.robust_skewness</span></code> and <code class="xref py py-func docutils literal notranslate"><span class="pre">sm.stats.stattools.robust_kurtosis</span></code>, respectively.  An alternative robust measure of skewness has been added in <code class="xref py py-func docutils literal notranslate"><span class="pre">sm.stats.stattools.medcouple</span></code>.</p></li>
<li><p>New functions added to correlation tools: <cite>corr_nearest_factor</cite>
finds the closest factor-structured correlation matrix to a given
square matrix in the Frobenius norm; <cite>corr_thresholded</cite> efficiently
constructs a hard-thresholded correlation matrix using sparse matrix
operations.</p></li>
<li><p>New <cite>dot_plot</cite> in graphics: A dotplot is a way to visualize a small dataset
in a way that immediately conveys the identity of every point in the plot.
Dotplots are commonly seen in meta-analyses, where they are known
as “forest plots”, but can be used in many other settings as well.
Most tables that appear in research papers can be represented
graphically as a dotplot.</p></li>
<li><p>statsmodels has added custom warnings to <code class="docutils literal notranslate"><span class="pre">statsmodels.tools.sm_exceptions</span></code>. By default all of these warnings will be raised whenever appropriate. Use <code class="docutils literal notranslate"><span class="pre">warnings.simplefilter</span></code> to turn them off, if desired.</p></li>
<li><p>Allow control over the namespace used to evaluate formulas with patsy via the <code class="docutils literal notranslate"><span class="pre">eval_env</span></code> keyword argument. See the <a class="reference internal" href="../example_formulas.html#patsy-namespaces"><span class="std std-ref">Namespaces</span></a> documentation for more information.</p></li>
</ul>
<h2 id="major-bugs-fixed">Major Bugs fixed<a class="headerlink" href="#major-bugs-fixed" title="Link to this heading">¶</a></h2>
<ul class="simple">
<li><p>NA-handling with formulas is now correctly handled. <a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/805">Issue #805</a>, <a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1877">Issue #1877</a>.</p></li>
<li><p>Better error messages when an array with an object dtype is used. <a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/2013">Issue #2013</a>.</p></li>
<li><p>ARIMA forecasts were hard-coded for order of integration with <code class="docutils literal notranslate"><span class="pre">d</span> <span class="pre">=</span> <span class="pre">1</span></code>. <a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1562">Issue #1562</a>.</p></li>
</ul>
<h2 id="backwards-incompatible-changes-and-deprecations">Backwards incompatible changes and deprecations<a class="headerlink" href="#backwards-incompatible-changes-and-deprecations" title="Link to this heading">¶</a></h2>
<ul class="simple">
<li><p>RegressionResults.norm_resid is now a readonly property, rather than a function.</p></li>
<li><p>The function <code class="docutils literal notranslate"><span class="pre">statsmodels.tsa.filters.arfilter</span></code> has been removed. This did not compute a recursive AR filter but was instead a convolution filter. Two new functions have been added with clearer names <code class="xref py py-func docutils literal notranslate"><span class="pre">sm.tsa.filters.recursive_filter</span></code> and <code class="xref py py-func docutils literal notranslate"><span class="pre">sm.tsa.filters.convolution_filter</span></code>.</p></li>
</ul>
<h2 id="development-summary-and-credits">Development summary and credits<a class="headerlink" href="#development-summary-and-credits" title="Link to this heading">¶</a></h2>
<p>The previous version (0.5.0) was released August 14, 2014. Since then we have closed a total of 528 issues, 276 pull requests, and 252 regular issues. Refer to the <a class="reference internal" href="#issues-list-06"><span class="std std-ref">detailed list</span></a> for more information.</p>
<p>This release is a result of the work of the following 37 authors who contributed a total of 1531 commits. If for any reason we have failed to list your name in the below, please contact us:</p>
<p>A blurb about the number of changes and the contributors list.</p>
<ul class="simple">
<li><p>Alex Griffing &lt;argriffi-at-ncsu.edu&gt;</p></li>
<li><p>Alex Parij &lt;paris.alex-at-gmail.com&gt;</p></li>
<li><p>Ana Martinez Pardo &lt;anamartinezpardo-at-gmail.com&gt;</p></li>
<li><p>Andrew Clegg &lt;andrewclegg-at-users.noreply.github.com&gt;</p></li>
<li><p>Ben Duffield &lt;bduffield-at-palantir.com&gt;</p></li>
<li><p>Chad Fulton &lt;chad-at-chadfulton.com&gt;</p></li>
<li><p>Chris Kerr &lt;cjk34-at-cam.ac.uk&gt;</p></li>
<li><p>Eric Chiang &lt;eric.chiang.m-at-gmail.com&gt;</p></li>
<li><p>Evgeni Burovski &lt;evgeni-at-burovski.me&gt;</p></li>
<li><p>gliptak &lt;gliptak-at-gmail.com&gt;</p></li>
<li><p>Hans-Martin von Gaudecker &lt;hmgaudecker-at-uni-bonn.de&gt;</p></li>
<li><p>Jan Schulz &lt;jasc-at-gmx.net&gt;</p></li>
<li><p>jfoo &lt;jcjf1983-at-gmail.com&gt;</p></li>
<li><p>Joe Hand &lt;joe.a.hand-at-gmail.com&gt;</p></li>
<li><p>Josef Perktold &lt;josef.pktd-at-gmail.com&gt;</p></li>
<li><p>jsphon &lt;jonathanhon-at-hotmail.com&gt;</p></li>
<li><p>Justin Grana &lt;jg3705a-at-student.american.edu&gt;</p></li>
<li><p>Kerby Shedden &lt;kshedden-at-umich.edu&gt;</p></li>
<li><p>Kevin Sheppard &lt;kevin.sheppard-at-economics.ox.ac.uk&gt;</p></li>
<li><p>Kyle Beauchamp &lt;kyleabeauchamp-at-gmail.com&gt;</p></li>
<li><p>Lars Buitinck &lt;l.buitinck-at-esciencecenter.nl&gt;</p></li>
<li><p>Max Linke &lt;max_linke-at-gmx.de&gt;</p></li>
<li><p>Miroslav Batchkarov &lt;mbatchkarov-at-gmail.com&gt;</p></li>
<li><p>m &lt;mngu2382-at-gmail.com&gt;</p></li>
<li><p>Padarn Wilson &lt;padarn-at-gmail.com&gt;</p></li>
<li><p>Paul Hobson &lt;pmhobson-at-gmail.com&gt;</p></li>
<li><p>Pietro Battiston &lt;me-at-pietrobattiston.it&gt;</p></li>
<li><p>Radim Řehůřek &lt;radimrehurek-at-seznam.cz&gt;</p></li>
<li><p>Ralf Gommers &lt;ralf.gommers-at-googlemail.com&gt;</p></li>
<li><p>Richard T. Guy &lt;richardtguy84-at-gmail.com&gt;</p></li>
<li><p>Roy Hyunjin Han &lt;rhh-at-crosscompute.com&gt;</p></li>
<li><p>Skipper Seabold &lt;jsseabold-at-gmail.com&gt;</p></li>
<li><p>Tom Augspurger &lt;thomas-augspurger-at-uiowa.edu&gt;</p></li>
<li><p>Trent Hauck &lt;trent.hauck-at-gmail.com&gt;</p></li>
<li><p>Valentin Haenel &lt;valentin.haenel-at-gmx.de&gt;</p></li>
<li><p>Vincent Arel-Bundock &lt;varel-at-umich.edu&gt;</p></li>
<li><p>Yaroslav Halchenko &lt;debian-at-onerussian.com&gt;</p></li>
</ul>
<div class="note admonition">
<p class="admonition-title">Note</p>
<p>Obtained by running <code class="docutils literal notranslate"><span class="pre">git</span> <span class="pre">log</span> <span class="pre">v0.5.0..HEAD</span> <span class="pre">--format='*</span> <span class="pre">%aN</span> <span class="pre">&lt;%aE&gt;'</span> <span class="pre">|</span> <span class="pre">sed</span> <span class="pre">'s/&#64;/\-at\-/'</span> <span class="pre">|</span> <span class="pre">sed</span> <span class="pre">'s/&lt;&gt;//'</span> <span class="pre">|</span> <span class="pre">sort</span> <span class="pre">-u</span></code>.</p>
</div>
<h3 id="issues-closed-in-the-0-6-0-development-cycle"><span id="issues-list-06"></span>Issues closed in the 0.6.0 development cycle<a class="headerlink" href="#issues-closed-in-the-0-6-0-development-cycle" title="Link to this heading">¶</a></h3>
<h2 id="issues-closed-in-0-6-0">Issues closed in 0.6.0<a class="headerlink" href="#issues-closed-in-0-6-0" title="Link to this heading">¶</a></h2>
<p>GitHub stats for 2013/08/14 - 2014/10/15 (tag: v0.5.0)</p>
<p>We closed a total of 528 issues, 276 pull requests and 252 regular issues;
this is the full list (generated with the script <code class="file docutils literal notranslate"><span class="pre">tools/github_stats.py</span></code>):</p>
<p>This list is automatically generated and may be incomplete.</p>
<p>Pull Requests (276):</p>
<ul class="simple">
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2044">PR #2044</a>: ENH: Allow unit interval for binary models. Closes #2040.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1426">PR #1426</a>: ENH: Import arima_process stuff into tsa.api</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2042">PR #2042</a>: Fix two minor typos in contrast.py</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2034">PR #2034</a>: ENH: Handle missing for extra data with formulas</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2035">PR #2035</a>: MAINT: Remove deprecated code for 0.6</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1325">PR #1325</a>: ENH: add the Edgeworth expansion based on the normal distribution</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2032">PR #2032</a>: DOC: What it is what it is.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2031">PR #2031</a>: ENH: Expose patsy eval_env to users.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2028">PR #2028</a>: ENH: Fix numerical issues in links and families.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2029">PR #2029</a>: DOC: Fix versions to match other docs.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1647">PR #1647</a>: ENH: Warn on non-convergence.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2014">PR #2014</a>: BUG: Fix forecasting for ARIMA with d == 2</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2013">PR #2013</a>: ENH: Better error message on object dtype</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2012">PR #2012</a>: BUG: 2d 1 columns -&gt; 1d. Closes #322.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2009">PR #2009</a>: DOC: Update after refactor. Use code block.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2008">PR #2008</a>: ENH: Add wrapper for MixedLM</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1954">PR #1954</a>: ENH: PHReg formula improvements</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2007">PR #2007</a>: BLD: Fix build issues</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2006">PR #2006</a>: BLD: Do not generate cython on clean. Closes #1852.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/2000">PR #2000</a>: BLD: Let pip/setuptools handle dependencies that are not installed at all.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1999">PR #1999</a>: Gee offset exposure 1994 rebased</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1998">PR #1998</a>: BUG/ENH Lasso emptymodel rebased</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1989">PR #1989</a>: BUG/ENH: WLS generic robust cov_type did not use whitened,</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1587">PR #1587</a>: ENH: Wrap X12/X13-ARIMA AUTOMDL. Closes #442.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1563">PR #1563</a>: ENH: Add plot_predict method to ARIMA models.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1995">PR #1995</a>: BUG: Fix issue #1993</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1981">PR #1981</a>: ENH: Add api for covstruct. Clear __init__. Closes #1917.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1996">PR #1996</a>: DEV: Ignore .venv file.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1982">PR #1982</a>: REF: Rename jac -&gt; score_obs. Closes #1785.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1987">PR #1987</a>: BUG tsa pacf, base bootstrap</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1986">PR #1986</a>: Bug multicomp 1927 rebased</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1984">PR #1984</a>: Docs add gee.rst</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1985">PR #1985</a>: Bug uncentered latex table 1929 rebased</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1983">PR #1983</a>: BUG: Fix compat asunicode</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1574">PR #1574</a>: DOC: Fix math.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1980">PR #1980</a>: DOC: Documentation fixes</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1974">PR #1974</a>: REF/Doc beanplot change default color, add notebook</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1978">PR #1978</a>: ENH: Check input to binary models</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1979">PR #1979</a>: BUG: Typo</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1976">PR #1976</a>: ENH: Add _repr_html_ to SimpleTable</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1977">PR #1977</a>: BUG: Fix import refactor victim.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1975">PR #1975</a>: BUG: Yule walker cast to float</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1973">PR #1973</a>: REF: Move and expose webuse</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1972">PR #1972</a>: TST: Add testing against NumPy 1.9 and matplotlib 1.4</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1939">PR #1939</a>: ENH: Binstar build files</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1952">PR #1952</a>: REF/DOC: Misc</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1940">PR #1940</a>: REF: refactor and speedup of mixed LME</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1937">PR #1937</a>: ENH: Quick access to online documentation</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1942">PR #1942</a>: DOC: Rename Change README type to rst</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1938">PR #1938</a>: ENH: Enable Python 3.4 testing</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1924">PR #1924</a>: Bug gee cov type 1906 rebased</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1870">PR #1870</a>: robust covariance, cov_type in fit</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1859">PR #1859</a>: BUG: Do not use negative indexing with k_ar == 0. Closes #1858.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1914">PR #1914</a>: BUG: LikelihoodModelResults.pvalues use df_resid_inference</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1899">PR #1899</a>: TST: fix assert_equal for pandas index</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1895">PR #1895</a>: Bug multicomp pandas</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1894">PR #1894</a>: BUG fix more ix indexing cases for pandas compat</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1889">PR #1889</a>: BUG: fix ytick positions closes #1561</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1887">PR #1887</a>: Bug pandas compat asserts</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1888">PR #1888</a>: TST test_corrpsd Test_Factor: add noise to data</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1886">PR #1886</a>: BUG pandas 0.15 compatibility in grouputils labels</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1885">PR #1885</a>: TST: corr_nearest_factor, more informative tests</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1884">PR #1884</a>: Fix: Add compat code for pd.Categorical in pandas&gt;=0.15</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1883">PR #1883</a>: BUG: add _ctor_param to TransfGen distributions</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1872">PR #1872</a>: TST: fix _infer_freq for pandas .14+ compat</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1867">PR #1867</a>: Ref covtype fit</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1865">PR #1865</a>: Disable tst distribution 1864</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1856">PR #1856</a>: _spg_optim returns history of objective function values</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1854">PR #1854</a>: BLD: Do not hard-code path for building notebooks. Closes #1249</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1851">PR #1851</a>: MAINT: Cor nearest factor tests</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1847">PR #1847</a>: Newton regularize</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1623">PR #1623</a>: BUG Negbin fit regularized</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1797">PR #1797</a>: BUG/ENH: fix and improve constant detection</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1770">PR #1770</a>: TST: anova with <cite>-1</cite> noconstant, add tests</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1837">PR #1837</a>: Allow group variable to be passed as variable name when using formula</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1839">PR #1839</a>: BUG: GEE score</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1830">PR #1830</a>: BUG/ENH Use t</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1832">PR #1832</a>: TST error with scipy 0.14 location distribution class</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1827">PR #1827</a>: fit_regularized for linear models   rebase 1674</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1825">PR #1825</a>: Phreg 1312 rebased</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1826">PR #1826</a>: Lme api docs</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1824">PR #1824</a>: Lme profile 1695 rebased</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1823">PR #1823</a>: Gee cat subclass 1694 rebase</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1781">PR #1781</a>: ENH: Glm add score_obs</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1821">PR #1821</a>: Glm maint #1734 rebased</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1820">PR #1820</a>: BUG: revert change to conf_int in PR #1819</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1819">PR #1819</a>: Docwork</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1772">PR #1772</a>: REF: cov_params allow case of only cov_params_default is defined</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1771">PR #1771</a>: REF numpy &gt;1.9 compatibility, indexing into empty slice closes #1754</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1769">PR #1769</a>: Fix ttest 1d</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1766">PR #1766</a>: TST: TestProbitCG increase bound for fcalls closes #1690</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1709">PR #1709</a>: BLD: Made build extensions more flexible</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1714">PR #1714</a>: WIP: fit_constrained</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1706">PR #1706</a>: REF: Use fixed params in test. Closes #910.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1701">PR #1701</a>: BUG: Fix faulty logic. Do not raise when missing=’raise’ and no missing data.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1699">PR #1699</a>: TST/ENH StandardizeTransform, reparameterize TestProbitCG</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1697">PR #1697</a>: Fix for statsmodels/statsmodels#1689</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1692">PR #1692</a>: OSL Example: redundant cell in example removed</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1688">PR #1688</a>: Kshedden mixed rebased of #1398</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1629">PR #1629</a>: Pull request to fix bandwidth bug in issue 597</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1666">PR #1666</a>: Include pyx in sdist but do not install</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1683">PR #1683</a>: TST: GLM shorten random seed closes #1682</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1681">PR #1681</a>: Dotplot kshedden rebased of 1294</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1679">PR #1679</a>: BUG: Fix problems with predict handling offset and exposure</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1677">PR #1677</a>: Update docstring of RegressionModel.predict()</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1635">PR #1635</a>: Allow offset and exposure to be used together with log link; raise except…</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1676">PR #1676</a>: Tests for SVAR</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1671">PR #1671</a>: ENH: avoid hard-listed bandwidths – use present dictionary (+typos fixed)</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1643">PR #1643</a>: Allow matrix structure in covariance matrices to be exploited</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1657">PR #1657</a>: BUG: Fix refactor victim.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1630">PR #1630</a>: DOC: typo, “intercept”</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1619">PR #1619</a>: MAINT: Dataset docs cleanup and automatic build of docs</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1612">PR #1612</a>: BUG/ENH Fix negbin exposure #1611</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1610">PR #1610</a>: BUG/ENH fix llnull, extra kwds to recreate model</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1582">PR #1582</a>: BUG: wls_prediction_std fix weight handling, see 987</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1613">PR #1613</a>: BUG: Fix proportions allpairs #1493</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1607">PR #1607</a>: TST: adjust precision, CI Debian, Ubuntu testing</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1603">PR #1603</a>: ENH: Allow start_params in GLM</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1600">PR #1600</a>: CLN: Regression plots fixes</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1592">PR #1592</a>: DOC: Additions and fixes</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1520">PR #1520</a>: CLN: Refactored so that there is no longer a need for 2to3</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1585">PR #1585</a>: Cor nearest 1384 rebased</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1553">PR #1553</a>: Gee maint 1528 rebased</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1583">PR #1583</a>: BUG: For ARMA(0,0) ensure 1d bse and fix summary.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1580">PR #1580</a>: DOC: Fix links. [skip ci]</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1572">PR #1572</a>: DOC: Fix link title [skip ci]</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1566">PR #1566</a>: BLD: Fix copy paste path error for &gt;= 3.3 Windows builds</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1524">PR #1524</a>: ENH: Optimize Cython code. Use scipy blas function pointers.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1560">PR #1560</a>: ENH: Allow ARMA(0,0) in order selection</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1559">PR #1559</a>: MAINT: Recover lost commits from vbench PR</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1554">PR #1554</a>: Silenced test output introduced in medcouple</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1234">PR #1234</a>: ENH: Robust skewness, kurtosis and medcouple measures</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1484">PR #1484</a>: ENH: Add naive seasonal decomposition function</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1551">PR #1551</a>: COMPAT: Fix failing test on Python 2.6</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1472">PR #1472</a>: ENH: using human-readable group names instead of integer ids in MultiComparison</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1437">PR #1437</a>: ENH: accept non-int definitions of cluster groups</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1550">PR #1550</a>: Fix test gmm poisson</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1549">PR #1549</a>: TST: Fix locally failing tests.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1121">PR #1121</a>: WIP: Refactor optimization code.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1547">PR #1547</a>: COMPAT: Correct bit_length for 2.6</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1545">PR #1545</a>: MAINT: Fix missed usage of deprecated tools.rank</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1196">PR #1196</a>: REF: ensure O(N log N) when using fft for acf</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1154">PR #1154</a>: DOC: Add links for build machines.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1546">PR #1546</a>: DOC: Fix link to wrong notebook</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1383">PR #1383</a>: MAINT: Deprecate rank in favor of np.linalg.matrix_rank</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1432">PR #1432</a>: COMPAT: Add NumpyVersion from scipy</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1438">PR #1438</a>: ENH: Option to avoid “center” environment.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1544">PR #1544</a>: BUG: Travis miniconda</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1510">PR #1510</a>: CLN: Improve warnings to avoid generic warnings messages</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1543">PR #1543</a>: TST: Suppress RuntimeWarning for L-BFGS-B</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1507">PR #1507</a>: CLN: Silence test output</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1540">PR #1540</a>: BUG: Correct derivative for exponential transform.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1536">PR #1536</a>: BUG: Restores coveralls for a single build</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1535">PR #1535</a>: BUG: Fixes for 2.6 test failures, replacing astype(str) with apply(str)</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1523">PR #1523</a>: Travis miniconda</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1533">PR #1533</a>: DOC: Fix link to code on github</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1531">PR #1531</a>: DOC: Fix stale links with linkcheck</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1530">PR #1530</a>: DOC: Fix link</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1527">PR #1527</a>: DOCS: Update docs add FAQ page</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1525">PR #1525</a>: DOC: Update with Python 3.4 build notes</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1518">PR #1518</a>: DOC: Ask for release notes and example.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1516">PR #1516</a>: DOC: Update examples contributing docs for current practice.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1517">PR #1517</a>: DOC: Be clear about data attribute of Datasets</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1515">PR #1515</a>: DOC: Fix broken link</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1514">PR #1514</a>: DOC: Fix formula import convention.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1506">PR #1506</a>: BUG: Format and decode errors in Python 2.6</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1505">PR #1505</a>: TST: Test co2 load_data for Python 3.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1504">PR #1504</a>: BLD: New R versions require NAMESPACE file. Closes #1497.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1483">PR #1483</a>: ENH: Some utility functions for working with dates</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1482">PR #1482</a>: REF: Prefer filters.api to __init__</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1481">PR #1481</a>: ENH: Add weekly co2 dataset</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1474">PR #1474</a>: DOC: Add plots for standard filter methods.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1471">PR #1471</a>: DOC: Fix import</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1470">PR #1470</a>: DOC/BLD: Log code exceptions from nbgenerate</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1469">PR #1469</a>: DOC: Fix bad links</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1468">PR #1468</a>: MAINT: CSS fixes</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1463">PR #1463</a>: DOC: Remove defunct argument. Change default kw. Closes #1462.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1452">PR #1452</a>: STY: import pandas as pd</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1458">PR #1458</a>: BUG/BLD: exclude sandbox in relative path, not absolute</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1447">PR #1447</a>: DOC: Only build and upload docs if we need to.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1445">PR #1445</a>: DOCS: Example landing page</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1436">PR #1436</a>: DOC: Fix auto doc builds.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1431">PR #1431</a>: DOC: Add default for getenv. Fix paths. Add print_info</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1429">PR #1429</a>: MAINT: Use ip_directive shipped with IPython</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1427">PR #1427</a>: TST: Make tests fit quietly</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1424">PR #1424</a>: ENH: Consistent results for transform_slices</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1421">PR #1421</a>: ENH: Add grouping utilities code</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1419">PR #1419</a>: Gee 1314 rebased</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1414">PR #1414</a>: TST temporarily rename tests probplot other to skip them</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1403">PR #1403</a>: Bug norm expan shapes</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1417">PR #1417</a>: REF: Let subclasses keep kwds attached to data.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1416">PR #1416</a>: ENH: Make handle_data overwritable by subclasses.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1410">PR #1410</a>: ENH: Handle missing is none</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1402">PR #1402</a>: REF: Expose missing data handling as classmethod</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1387">PR #1387</a>: MAINT: Fix failing tests</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1406">PR #1406</a>: MAINT: Tools improvements</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1404">PR #1404</a>: Tst fix genmod link tests</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1396">PR #1396</a>: REF: Multipletests reduce memory usage</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1380">PR #1380</a>: DOC :Update vector_ar.rst</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1381">PR #1381</a>: BLD: Do not check dependencies on egg_info for pip. Closes #1267.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1302">PR #1302</a>: BUG: Fix typo.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1375">PR #1375</a>: STY: Remove unused imports and comment out unused libraries in setup.py</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1143">PR #1143</a>: DOC: Update backport notes for new workflow.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1374">PR #1374</a>: ENH: Import tsaplots into tsa namespace. Closes #1359.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1369">PR #1369</a>: STY: Pep-8 cleanup</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1370">PR #1370</a>: ENH: Support ARMA(0,0) models.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1368">PR #1368</a>: STY: Pep 8 cleanup</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1367">PR #1367</a>: ENH: Make sure mle returns attach to results.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1365">PR #1365</a>: STY: Import and pep 8 cleanup</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1364">PR #1364</a>: ENH: Get rid of hard-coded lbfgs. Closes #988.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1363">PR #1363</a>: BUG: Fix typo.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1361">PR #1361</a>: ENH: Attach mlefit to results not model.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1360">PR #1360</a>: ENH: Import adfuller into tsa namespace</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1346">PR #1346</a>: STY: PEP-8 Cleanup</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1344">PR #1344</a>: BUG: Use missing keyword given to ARMA.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1340">PR #1340</a>: ENH: Protect against ARMA convergence failures.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1334">PR #1334</a>: ENH: ARMA order select convenience function</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1339">PR #1339</a>: Fix typos</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1336">PR #1336</a>: REF: Get rid of plain assert.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1333">PR #1333</a>: STY: __all__ should be after imports.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1332">PR #1332</a>: ENH: Add Bunch object to tools.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1331">PR #1331</a>: ENH: Always use unicode.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1329">PR #1329</a>: BUG: Decode metadata to utf-8. Closes #1326.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1330">PR #1330</a>: DOC: Fix typo. Closes #1327.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1185">PR #1185</a>: Added support for pandas when pandas was installed directly from git trunk</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1315">PR #1315</a>: MAINT: Change back to path for build box</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1305">PR #1305</a>: TST: Update hard-coded path.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1290">PR #1290</a>: ENH: Add seasonal plotting.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1296">PR #1296</a>: BUG/TST: Fix ARMA forecast when start == len(endog). Closes #1295</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1292">PR #1292</a>: DOC: cleanup examples folder and webpage</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1286">PR #1286</a>: Make sure PeriodIndex passes through tsa. Closes #1285.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1271">PR #1271</a>: Silverman enhancement - Issue #1243</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1264">PR #1264</a>: Doc work GEE, GMM, sphinx warnings</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1179">PR #1179</a>: REF/TST: <cite>ProbPlot</cite> now uses <cite>resettable_cache</cite> and added some kwargs to plotting fxns</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1225">PR #1225</a>: Sandwich mle</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1258">PR #1258</a>: Gmm new rebased</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1255">PR #1255</a>: ENH add GEE to genmod</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1254">PR #1254</a>: REF: Results.predict convert to array and adjust shape</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1192">PR #1192</a>: TST: enable tests for llf after change to WLS.loglike see #1170</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1253">PR #1253</a>: Wls llf fix</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1233">PR #1233</a>: sandbox kernels bugs uniform kernel and confint</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1240">PR #1240</a>: Kde weights 1103 823</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1228">PR #1228</a>: Add default value tags to adfuller() docs</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1198">PR #1198</a>: fix typo</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1230">PR #1230</a>: BUG: numerical precision in resid_pearson with perfect fit #1229</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1214">PR #1214</a>: Compare lr test rebased</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1200">PR #1200</a>: BLD: do not install *.pyx *.c  MANIFEST.in</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1202">PR #1202</a>: MAINT: Sort backports to make applying easier.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1157">PR #1157</a>: Tst precision</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1161">PR #1161</a>: add a fitting interface for simultaneous log likelihood and score, for lbfgs, tested with MNLogit</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1160">PR #1160</a>: DOC: update scipy version from 0.7 to 0.9.0</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1147">PR #1147</a>: ENH: add lbfgs for fitting</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1156">PR #1156</a>: ENH: Raise on 0,0 order models in AR(I)MA. Closes #1123</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1149">PR #1149</a>: BUG: Fix small data issues for ARIMA.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1092">PR #1092</a>: Fixed duplicate svd in RegressionModel</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1139">PR #1139</a>: TST: Silence tests</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1135">PR #1135</a>: Misc style</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1088">PR #1088</a>: ENH: add predict_prob to poisson</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1125">PR #1125</a>: REF/BUG: Some GLM cleanup. Used trimmed results in NegativeBinomial variance.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1124">PR #1124</a>: BUG: Fix ARIMA prediction when fit without a trend.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1118">PR #1118</a>: DOC: Update gettingstarted.rst</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1117">PR #1117</a>: Update ex_arma2.py</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1107">PR #1107</a>: REF: Deprecate stand_mad. Add center keyword to mad. Closes #658.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1089">PR #1089</a>: ENH: exp(poisson.logpmf()) for poisson better behaved.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1077">PR #1077</a>: BUG: Allow 1d exog in ARMAX forecasting.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1075">PR #1075</a>: BLD: Fix build issue on some versions of easy_install.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1071">PR #1071</a>: Update setup.py to fix broken install on OSX</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1052">PR #1052</a>: DOC: Updating contributing docs</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1136">PR #1136</a>: RLS: Add IPython tools for easier backporting of issues.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1091">PR #1091</a>: DOC: minor git typo</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1082">PR #1082</a>: coveralls support</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1072">PR #1072</a>: notebook examples title cell</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1056">PR #1056</a>: Example: reg diagnostics</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1057">PR #1057</a>: COMPAT: Fix py3 caching for get_rdatasets.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1045">PR #1045</a>: DOC/BLD: Update from nbconvert to IPython 1.0.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/pull/1026">PR #1026</a>: DOC/BLD: Add LD_LIBRARY_PATH to env for docs build.</p></li>
</ul>
<p>Issues (252):</p>
<ul class="simple">
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/2040">Issue #2040</a>: enh: fractional Logit, Probit</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1220">Issue #1220</a>: missing in extra data (example sandwiches, robust covariances)</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1877">Issue #1877</a>: error with GEE on missing data.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/805">Issue #805</a>: nan with categorical in formula</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/2036">Issue #2036</a>: test in links require exact class so Logit cannot work in place of logit</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/2010">Issue #2010</a>: Go over deprecations again for 0.6.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1303">Issue #1303</a>: patsy library not automatically installed</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/2024">Issue #2024</a>: genmod Links numerical improvements</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/2025">Issue #2025</a>: GEE requires exact import for cov_struct</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/2017">Issue #2017</a>: Matplotlib warning about too many figures</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/724">Issue #724</a>: check warnings</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1562">Issue #1562</a>: ARIMA forecasts are hard-coded for d=1</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/880">Issue #880</a>: DataFrame with bool type not cast correctly.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1992">Issue #1992</a>: MixedLM style</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/322">Issue #322</a>: acf / pacf do not work on pandas objects</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1317">Issue #1317</a>: AssertionError: attr is not equal [dtype]: dtype(‘object’) != dtype(‘datetime64[ns]’)</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1875">Issue #1875</a>: dtype bug object arrays (raises in clustered standard errors code)</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1842">Issue #1842</a>: dtype object, glm.fit() gives AttributeError: sqrt</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1300">Issue #1300</a>: Doc errors, missing</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1164">Issue #1164</a>: RLM cov_params, t_test, f_test do not use bcov_scaled</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1019">Issue #1019</a>: 0.6.0 Roadmap</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/554">Issue #554</a>: Prediction Standard Errors</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/333">Issue #333</a>: ENH tools: squeeze in R export file</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1990">Issue #1990</a>: MixedLM does not have a wrapper</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1897">Issue #1897</a>: Consider depending on setuptools in setup.py</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/2003">Issue #2003</a>: pip install now fails silently</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1852">Issue #1852</a>: do not cythonize when cleaning up</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1991">Issue #1991</a>: GEE formula interface does not take offset/exposure</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/442">Issue #442</a>: Wrap x-12 arima</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1993">Issue #1993</a>: MixedLM bug</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1917">Issue #1917</a>: API: GEE access to genmod.covariance_structure through api</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1785">Issue #1785</a>: REF: rename jac -&gt; score_obs</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1969">Issue #1969</a>: pacf has incorrect standard errors for lag 0</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1434">Issue #1434</a>: A small bug in GenericLikelihoodModelResults.bootstrap()</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1408">Issue #1408</a>: BUG test failure with tsa_plots</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1337">Issue #1337</a>: DOC: HCCM are now available for WLS</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/546">Issue #546</a>: influence and outlier documentation</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1532">Issue #1532</a>: DOC: Related page is out of date</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1386">Issue #1386</a>: Add minimum matplotlib to docs</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1068">Issue #1068</a>: DOC: keeping documentation of old versions on sourceforge</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/329">Issue #329</a>: link to examples and datasets from module pages</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1804">Issue #1804</a>: PDF documentation for statsmodels</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/202">Issue #202</a>: Extend robust standard errors for WLS/GLS</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1519">Issue #1519</a>: Link to user-contributed examples in docs</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1053">Issue #1053</a>: inconvenient: logit when endog is (1,2) instead of (0,1)</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1555">Issue #1555</a>: SimpleTable: add repr html for ipython notebook</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1366">Issue #1366</a>: Change default start_params to .1 in ARMA</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1869">Issue #1869</a>: yule_walker (from <cite>statsmodels.regression</cite>) raises exception when given an integer array</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1651">Issue #1651</a>: statsmodels.tsa.ar_model.ARResults.predict</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1738">Issue #1738</a>: GLM robust sandwich covariance matrices</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1779">Issue #1779</a>: Some directories under statsmodels dont have __init_.py</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1242">Issue #1242</a>: No support for (0, 1, 0) ARIMA Models</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1571">Issue #1571</a>: expose webuse, use cache</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1860">Issue #1860</a>: ENH/BUG/DOC: Bean plot should allow for separate widths of bean and violins.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1831">Issue #1831</a>: TestRegressionNM.test_ci_beta2 i386 AssertionError</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1079">Issue #1079</a>: bugfix release 0.5.1</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1338">Issue #1338</a>: Raise Warning for HCCM use in WLS/GLS</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1430">Issue #1430</a>: scipy min version / issue</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/276">Issue #276</a>: memoize, last argument wins, how to attach sandwich to Results?</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1943">Issue #1943</a>: REF/ENH: LikelihoodModel.fit optimization, make hessian optional</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1957">Issue #1957</a>: BUG: Re-create OLS model using _init_keys</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1905">Issue #1905</a>: Docs: online docs are missing GEE</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1898">Issue #1898</a>: add python 3.4 to continuous integration testing</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1684">Issue #1684</a>: BUG: GLM NegativeBinomial: llf ignores offset and exposure</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1256">Issue #1256</a>: REF: GEE handling of default covariance matrices</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1760">Issue #1760</a>: Changing covariance_type on results</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1906">Issue #1906</a>: BUG: GEE default covariance is not used</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1931">Issue #1931</a>: BUG: GEE subclasses NominalGEE do not work with pandas exog</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1904">Issue #1904</a>: GEE Results does not have a Wrapper</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1918">Issue #1918</a>: GEE: required attributes missing, df_resid</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1919">Issue #1919</a>: BUG GEE.predict uses link instead of link.inverse</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1858">Issue #1858</a>: BUG: arimax forecast should special case k_ar == 0</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1903">Issue #1903</a>: BUG: pvalues for cluster robust, with use_t do not use df_resid_inference</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1243">Issue #1243</a>: kde silverman bandwidth for non-gaussian kernels</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1866">Issue #1866</a>: Pip dependencies</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1850">Issue #1850</a>: TST test_corr_nearest_factor fails on Ubuntu</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/292">Issue #292</a>: python 3 examples</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1868">Issue #1868</a>: ImportError: No module named compat  [ from statsmodels.compat import lmap ]</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1890">Issue #1890</a>: BUG tukeyhsd nan in group labels</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1891">Issue #1891</a>: TST test_gmm outdated pandas, compat</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1561">Issue #1561</a>: BUG plot for tukeyhsd, MultipleComparison</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1864">Issue #1864</a>: test failure sandbox distribution transformation with scipy 0.14.0</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/576">Issue #576</a>: Add contributing guidelines</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1873">Issue #1873</a>: GenericLikelihoodModel is not picklable</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1822">Issue #1822</a>: TST failure on Ubuntu pandas 0.14.0 , problems with frequency</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1249">Issue #1249</a>: Source directory problem for notebook examples</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1855">Issue #1855</a>: anova_lm throws error on models created from api.ols but not formula.api.ols</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1853">Issue #1853</a>: a large number of hardcoded paths</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1792">Issue #1792</a>: R² adjusted strange after including interaction term</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1794">Issue #1794</a>: REF: has_constant, k_constant, include implicit constant detection in base</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1454">Issue #1454</a>: NegativeBinomial missing fit_regularized method</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1615">Issue #1615</a>: REF DRYing fit methods</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1453">Issue #1453</a>: Discrete NegativeBinomialModel regularized_fit ValueError: matrices are not aligned</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1836">Issue #1836</a>: BUG Got an TypeError trying to import statsmodels.api</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1829">Issue #1829</a>: BUG: GLM summary show “t”  use_t=True for summary</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1828">Issue #1828</a>: BUG summary2 does not propagate/use use_t</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1812">Issue #1812</a>: BUG/ REF conf_int and use_t</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1835">Issue #1835</a>: Problems with installation using easy_install</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1801">Issue #1801</a>: BUG ‘f_gen’ missing in scipy 0.14.0</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1803">Issue #1803</a>: Error revealed by numpy 1.9.0r1</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1834">Issue #1834</a>: stackloss</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1728">Issue #1728</a>: GLM.fit maxiter=0  incorrect</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1795">Issue #1795</a>: singular design with offset ?</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1730">Issue #1730</a>: ENH/Bug cov_params, generalize, avoid ValueError</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1754">Issue #1754</a>: BUG/REF: assignment to slices in numpy &gt;= 1.9 (emplike)</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1409">Issue #1409</a>: GEE test errors on Debian Wheezy</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1521">Issue #1521</a>: ubuntu failures: tsa_plot and grouputils</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1415">Issue #1415</a>: test failure test_arima.test_small_data</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1213">Issue #1213</a>: df_diff in anova_lm</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1323">Issue #1323</a>: Contrast Results after t_test summary broken for 1 parameter</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/109">Issue #109</a>: TestProbitCG failure on Ubuntu</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1690">Issue #1690</a>: TestProbitCG: 8 failing tests (Python 3.4 / Ubuntu 12.04)</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1763">Issue #1763</a>: Johansen method does not give correct index values</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1761">Issue #1761</a>: doc build failures: ipython version ? ipython directive</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1762">Issue #1762</a>: Unable to build</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1745">Issue #1745</a>: UnicodeDecodeError raised by get_rdataset(“Guerry”, “HistData”)</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/611">Issue #611</a>: test failure foreign with pandas 0.7.3</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1700">Issue #1700</a>: faulty logic in missing handling</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1648">Issue #1648</a>: ProbitCG failures</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1689">Issue #1689</a>: test_arima.test_small_data: SVD fails to converge (Python 3.4 / Ubuntu 12.04)</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/597">Issue #597</a>: BUG: nonparametric: kernel, efficient=True changes bw even if given</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1606">Issue #1606</a>: BUILD from sdist broken if cython available</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1246">Issue #1246</a>: test failure test_anova.TestAnova2.test_results</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/50">Issue #50</a>: t_test, f_test, model.py for normal instead of t-distribution</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1655">Issue #1655</a>: newey-west different than R?</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1682">Issue #1682</a>: TST test failure on Ubuntu, random.seed</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1614">Issue #1614</a>: docstring for regression.linear_model.RegressionModel.predict() does not match implementation</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1318">Issue #1318</a>: GEE and GLM scale parameter</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/519">Issue #519</a>: L1 fit_regularized cleanup, comments</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/651">Issue #651</a>: add structure to example page</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1067">Issue #1067</a>: Kalman Filter convergence. How close is close enough?</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1281">Issue #1281</a>: Newton convergence failure prints warnings instead of warning</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1628">Issue #1628</a>: Unable to install statsmodels in the same requirements file as numpy, pandas, etc.</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/617">Issue #617</a>: Problem in installing statsmodels in Fedora 17 64-bit</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/935">Issue #935</a>: ll_null in likelihoodmodels discrete</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/704">Issue #704</a>: datasets.sunspot: wrong link in description</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1222">Issue #1222</a>: NegativeBinomial ignores exposure</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1611">Issue #1611</a>: BUG NegativeBinomial ignores exposure and offset</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1608">Issue #1608</a>: BUG: NegativeBinomial, llnul is always default ‘nb2’</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1221">Issue #1221</a>: llnull with exposure ?</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1493">Issue #1493</a>: statsmodels.stats.proportion.proportions_chisquare_allpairs has hardcoded value</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1260">Issue #1260</a>: GEE test failure on Debian</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1261">Issue #1261</a>: test failure on Debian</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/443">Issue #443</a>: GLM.fit does not allow start_params</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1602">Issue #1602</a>: Fitting GLM with a pre-assigned starting parameter</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1601">Issue #1601</a>: Fitting GLM with a pre-assigned starting parameter</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/890">Issue #890</a>: regression_plots problems (pylint) and missing test coverage</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1598">Issue #1598</a>: Is “old” string formatting Python 3 compatible?</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1589">Issue #1589</a>: AR vs ARMA order specification</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1134">Issue #1134</a>: Mark knownfails</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1259">Issue #1259</a>: Parameterless models</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/616">Issue #616</a>: python 2.6, python 3 in single codebase</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1586">Issue #1586</a>: Kalman Filter errors with new pyx</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1565">Issue #1565</a>: build_win_bdist*_py3*.bat are using the wrong compiler</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/843">Issue #843</a>: UnboundLocalError When trying to install OS X</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/713">Issue #713</a>: arima.fit performance</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/367">Issue #367</a>: unable to install on RHEL 5.6</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1548">Issue #1548</a>: testtransf error</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1478">Issue #1478</a>: is sm.tsa.filters.arfilter an AR filter?</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1420">Issue #1420</a>: GMM poisson test failures</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1145">Issue #1145</a>: test_multi noise</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1539">Issue #1539</a>: NegativeBinomial   strange results with bfgs</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/936">Issue #936</a>: vbench for statsmodels</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1153">Issue #1153</a>: Where are all our testing machines?</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1500">Issue #1500</a>: Use Miniconda for test builds</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1526">Issue #1526</a>: Out of date docs</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1311">Issue #1311</a>: BUG/BLD 3.4 compatibility of cython c files</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1513">Issue #1513</a>: build on osx -python-3.4</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1497">Issue #1497</a>: r2nparray needs NAMESPACE file</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1502">Issue #1502</a>: coveralls coverage report for files is broken</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1501">Issue #1501</a>: pandas in/out in predict</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1494">Issue #1494</a>: truncated violin plots</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1443">Issue #1443</a>: Crash from python.exe using linear regression of statsmodels</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1462">Issue #1462</a>: qqplot line kwarg is broken/docstring is wrong</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1457">Issue #1457</a>: BUG/BLD: Failed build if “sandbox” anywhere in statsmodels path</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1441">Issue #1441</a>: wls function: syntax error “unexpected EOF while parsing” occurs when name of dependent variable starts with digits</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1428">Issue #1428</a>: ipython_directive does not work with ipython</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1385">Issue #1385</a>: SimpleTable in Summary (e.g. OLS) is slow for large models</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1399">Issue #1399</a>: UnboundLocalError: local variable ‘fittedvalues’ referenced before assignment</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1377">Issue #1377</a>: TestAnova2.test_results fails with pandas 0.13.1</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1394">Issue #1394</a>: multipletests: reducing memory consumption</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1267">Issue #1267</a>: Packages cannot have both pandas and statsmodels in install_requires</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1359">Issue #1359</a>: move graphics.tsa to tsa.graphics</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/356">Issue #356</a>: docs take up a lot of space</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/988">Issue #988</a>: AR.fit no precision options for fmin_l_bfgs_b</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/990">Issue #990</a>: AR fit with bfgs: large score</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/14">Issue #14</a>: arma with exog</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1348">Issue #1348</a>: reset_index + set_index with drop=False</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1343">Issue #1343</a>: ARMA does not pass missing keyword up to TimeSeriesModel</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1326">Issue #1326</a>: formula example notebook broken</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1327">Issue #1327</a>: typo in docu-code for “Outlier and Influence Diagnostic Measures”</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1309">Issue #1309</a>: Box-Cox transform (some code needed: lambda estimator)</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1059">Issue #1059</a>: sm.tsa.ARMA making ma invertibility</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1295">Issue #1295</a>: Bug in ARIMA forecasting when start is int len(endog) and dates are given</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1285">Issue #1285</a>: tsa models fail on PeriodIndex with pandas</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1269">Issue #1269</a>: KPSS test for stationary processes</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1268">Issue #1268</a>: Feature request: Exponential smoothing</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1250">Issue #1250</a>: DOCs error in var_plots</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1032">Issue #1032</a>: Poisson predict breaks on list</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/347">Issue #347</a>: minimum number of observations - document or check ?</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1170">Issue #1170</a>: WLS log likelihood, aic and bic</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1187">Issue #1187</a>:  sm.tsa.acovf fails when both unbiased and fft are True</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1239">Issue #1239</a>: sandbox kernels, problems with inDomain</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1231">Issue #1231</a>: sandbox kernels confint missing alpha</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1245">Issue #1245</a>: kernels cosine differs from Stata</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/823">Issue #823</a>: KDEUnivariate with weights</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1229">Issue #1229</a>: precision problems in degenerate case</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1219">Issue #1219</a>: select_order</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1206">Issue #1206</a>: REF: RegressionResults cov-HCx into cached attributes</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1152">Issue #1152</a>: statsmodels failing tests with pandas</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1195">Issue #1195</a>: pyximport.install() before import api crash</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1066">Issue #1066</a>: gmm.IV2SLS has wrong predict signature</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1186">Issue #1186</a>: OLS when exog is 1d</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1113">Issue #1113</a>: TST: precision too high in test_normality</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1159">Issue #1159</a>: scipy version is still &gt;= 0.7?</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1108">Issue #1108</a>: SyntaxError: unqualified exec is not allowed in function ‘test_EvalEnvironment_capture_flag</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1116">Issue #1116</a>: Typo in Example Doc?</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1123">Issue #1123</a>: BUG : arima_model._get_predict_out_of_sample, ignores exogenous of there is no trend ?</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1155">Issue #1155</a>: ARIMA - The computed initial AR coefficients are not stationary</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/979">Issue #979</a>: Win64 binary cannot find Python installation</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1046">Issue #1046</a>: TST: test_arima_small_data_bug on current main</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1146">Issue #1146</a>: ARIMA fit failing for small set of data due to invalid maxlag</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1081">Issue #1081</a>: streamline linear algebra for linear model</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1138">Issue #1138</a>: BUG: pacf_yw does not demean</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1127">Issue #1127</a>: Allow linear link model with Binomial families</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1122">Issue #1122</a>: no data cleaning for statsmodels.genmod.families.varfuncs.NegativeBinomial()</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/658">Issue #658</a>: robust.mad is not being computed correctly or is non-standard definition; it returns the median</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1076">Issue #1076</a>: Some issues with ARMAX forecasting</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1073">Issue #1073</a>: easy_install sandbox violation</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1115">Issue #1115</a>: EasyInstall Problem</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1106">Issue #1106</a>: bug in robust.scale.mad?</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1102">Issue #1102</a>: Installation Problem</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1084">Issue #1084</a>: DataFrame.sort_index does not use ascending when then value is a list with a single element</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/393">Issue #393</a>: marginal effects in discrete choice do not have standard errors defined</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1078">Issue #1078</a>: Use pandas.version.short_version</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/96">Issue #96</a>: deepcopy breaks on ResettableCache</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1055">Issue #1055</a>: datasets.get_rdataset   string decode error on python 3</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/46">Issue #46</a>: tsa.stattools.acf confint needs checking and tests</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/957">Issue #957</a>: ARMA start estimate with numpy main</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/62">Issue #62</a>: GLSAR incorrect initial condition in whiten</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1021">Issue #1021</a>: from_formula() throws error - problem installing</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/911">Issue #911</a>: noise in stats.power tests</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/472">Issue #472</a>: Update roadmap for 0.5</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/238">Issue #238</a>: release 0.5</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1006">Issue #1006</a>: update nbconvert to IPython 1.0</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1038">Issue #1038</a>: DataFrame with integer names not handled in ARIMA</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1036">Issue #1036</a>: Series no longer inherits from ndarray</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1028">Issue #1028</a>: Test fail with windows and Anaconda - Low priority</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/676">Issue #676</a>: acorr_breush_godfrey  undefined nlags</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/922">Issue #922</a>: lowess returns inconsistent with option</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/425">Issue #425</a>: no bse in robust with norm=TrimmedMean</p></li>
<li><p><a class="reference external" href="https://github.com/statsmodels/statsmodels/issues/1025">Issue #1025</a>: add_constant incorrectly detects constant column</p></li>
</ul>


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