v0.24.14

0.24.14 - 2020-07-02

Bug fixes

• fixed a bug where using conditional_after and times in prediction methods would result in a shape error
• fixed a bug where score was not able to be used in splined CoxPHFitter
• fixed a bug where some columns would not be displayed in print_summary

v0.24.13

0.24.13 - 2020-06-22

Bug fixes

• fixed a bug where CoxPHFitter would ignore inputed alpha levels for confidence intervals
• fixed a bug where CoxPHFitter would fail with working with sklearn_adapter

v0.24.12

0.24.12 - 2020-06-20

New features

• improved convergence of GeneralizedGamma(Regression)Fitter.

v0.24.11

0.24.11 - 2020-06-17

New features

• new spline regression model CRCSplineFitter based on the paper "A flexible parametric accelerated failure time model" by Michael J. Crowther, Patrick Royston, Mark Clements.
• new survival probability calibration tool lifelines.calibration.survival_probability_calibration to help validate regression models. Based on “Graphical calibration curves and the integrated calibration index (ICI) for survival models” by P. Austin, F. Harrell, and D. van Klaveren.

API Changes

• (and bug fix) scalar parameters in regression models were not being penalized by penalizer - we now penalizing everything except intercept terms in linear relationships.

v0.24.10

0.24.10

New features

• New improvements when using splines model in CoxPHFitter - it should offer much better prediction and baseline-hazard estimation, including extrapolation and interpolation.

API Changes

• Related to above: the fitted spline parameters are now available in the .summary and .print_summary methods.

Bug fixes

• fixed a bug in initialization of some interval-censoring models -> better convergence.

v0.24.9

0.24.9 - 2020-06-05

New features

• Faster NPMLE for interval censored data
• New weightings available in the logrank_test: wilcoxon, tarone-ware, peto, fleming-harrington. Thanks @sean-reed
• new interval censored dataset: lifelines.datasets.load_mice

Bug fixes

• Cleared up some mislabeling in plot_loglogs. Thanks @sean-reed!
• tuples are now able to be used as input in univariate models.

v0.24.8

0.24.8

New features

• Non parametric interval censoring is now available, experimentally. Not all edge cases are fully checked, and some features are missing. Try it under KaplanMeierFitter.fit_interval_censoring

v0.24.7

0.24.7

New features

• find_best_parametric_model can handle left and interval censoring. Also allows for more fitting options.
• AIC_ is a property on parametric models, and AIC_partial_ is a property on Cox models.
• penalizer in all regression models can now be an array instead of a float. This enables new functionality and better
  control over penalization. This is similar (but not identical) to penalty.factors in glmnet in R.
• some convergence tweaks which should help recent performance regressions.

Bug fixes

• fixed bug where cdf_plot and qq_plot were not factoring in the weights correctly.

0.24.6

0.24.6 - 2020-05-05

New features

• At the cost of some performance, convergence is improved in many models.
• New lifelines.plotting.plot_interval_censored_lifetimes for plotting interval censored data - thanks @sean-reed!

Bug fixes

• fixed bug where cdf_plot and qq_plot were not factoring in the weights correctly.

v0.24.5

New features

• plot_lifetimes accepts pandas Series.

Bug fixes

• Fixed important bug in interval censoring models. Users using interval censoring are strongly advised to upgrade.
• Improved at_risk_counts for subplots.
• More data validation checks for CoxTimeVaryingFitter