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Fix whatsnew and the website's News/updates section (nilearn#428)
* Corrected formatting, moved entries to correct version, added Missing entries * Corrected the Updates section for the website
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doc/themes/nistats/layout.html

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@@ -191,10 +191,9 @@ <h2>Functional MRI Neuro-Imaging in Python</h2>
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<h4> News </h4>
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<ul>
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<li><p> <strong>October 2018</strong>: Nistats 0.0.1b released
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</p></li>
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<li><p> <strong>November 2017</strong>: Nistats 0.0.1a released
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</p></li>
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<li><p> <strong>October 2019</strong>: Nistats 0.0.1b1 released</p></li>
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<li><p> <strong>October 2018</strong>: Nistats 0.0.1b0 released</p></li>
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<li><p> <strong>November 2017</strong>: Nistats 0.0.1a released</p></li>
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</ul>
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<ul>
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<li><p> <strong>Ongoing development</strong>:

doc/whats_new.rst

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0.1.0b2
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=======
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New
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---
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* New example showcasing the use of a GLM to get beta maps for decoding experiments (aka beta-regression).
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* Addition of all-resolution inference, ie statistically grounded of true positive in given clusters, in :func:`nistats.thresholding.map_threshold`
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Changes
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-------
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* `run_img` variable deleted after masking in FirstLevelModel to reduce memory use.
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* :func:`nistats.reporting.make_glm_report` now uses the computed mask if there is no
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user-specified one.
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Fixes
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-----
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* Explicit method for fixed effects to support image-based summary
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statistics approach.
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* FIR delays are now integers.
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0.1.0b1
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=======
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.. warning::
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| period_cut (in seconds) has been replaced by high_pass (in Hz) in FirstLevelModel & design matrices.
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Additionally, there is an example showcasing the use of the attributes.
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* Use :func:`nistats.reporting.make_glm_report` to easily generate HTML reports from fitted first and second level models and contrasts.
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* New dataset fetcher, :func:`nistats.datasets.fetch_language_localizer_demo_dataset` , BIDS 1.2 compatible.
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* New example showcasing the use of a GLM to get beta maps for decoding experiments (aka beta-regression).
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* Addition of all-resolution inference, ie statistically grounded of true positive in given clusters, in :func:`nistats.thresholding.map_threshold`
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Changes
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-------
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* Nistats now uses BIDS v1.2 & BIDS Derivatives terminology.
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* `run_img` variable deleted after masking in FirstLevelModel to reduce memory use.
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Fixes
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* fixed effect contrasts now average effect sizes across runs rather than
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summing them.
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* :func:`nistats.first_level_model.first_level_models_from_bids` uses correct BIDS v1.2 conventions.
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* Explicit method for fixed effects to support image-based summary
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statistics approach.
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* FIR delays are now integers.
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Contributors
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------------
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The following people contributed to this release (in alphabetical order)
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The following people contributed to this release (in alphabetical order)::
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Ana Luisa Pinho
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Anthony Gifuni
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Takis Panagopoulos
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Tuan Binh Nguyen
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0.0.1b
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0.0.1b0
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Changelog

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