0.21.3 - 2019-06-04 New features include in lifelines is a scikit-learn adapter so lifeline's models can be used with scikit-learn's API. See documentation here. CoxPHFitter.plot now accepts a hazard_ratios (boolean) parameter that will plot the hazard ratios (and CIs) instead of the log-hazard ratios. CoxPHFitter.check_assumptions now accepts a columns parameter to specify only checking a subset of columns. Bug fixes covariates_from_event_matrix handle nulls bette
0.24.3 - 2020-03-25 New features new logx kwarg in plotting curves PH models have compute_followup_...
0.16.0 Drop Python 3.4 support. introduction of residual calculations in CoxPHFitter.compute_resid...
0.23.6 - 2020-01-07 New features New univariate model, SplineFitter, that uses cubic splines to mod...
0.18.6 some improvements to the output of check_assumptions. show_plots is turned to False by defau...
0.22.8 New features Serializing lifelines is better supported. Packages like joblib and pickle are ...
0.11.0 fixes regression in KaplanMeierFitter.plot when using Seaborn and lifelines. introduce a new...
0.23.2 New features new lifelines.plotting.rmst_plot for pretty figures of survival curves and RMST...
0.18.0 LogNormalFitter is a new univariate fitter you can use. WeibullFitter now correctly returns ...
0.22.6 New features conditional_after works for CoxPHFitter prediction models Bug fixes API Chang...
0.24.0 - 2020-02-20 This version and future versions of lifelines no longer support py35. Pandas 1....
0.25.0 - 2020-07-27 New features Formulas! lifelines now supports R-like formulas in regression mod...
0.18.3 Some performance improvements to parametric univariate models. Suppressing some irrelevant N...
0.24.10 New features New improvements when using splines model in CoxPHFitter - it should offer muc...
0.24.6 - 2020-05-05 New features At the cost of some performance, convergence is improved in many m...
0.18.5 added new plotting methods to parametric univariate models: plot_survival_function, plot_haz...
0.24.3 - 2020-03-25 New features new logx kwarg in plotting curves PH models have compute_followup_...
0.16.0 Drop Python 3.4 support. introduction of residual calculations in CoxPHFitter.compute_resid...
0.23.6 - 2020-01-07 New features New univariate model, SplineFitter, that uses cubic splines to mod...
0.18.6 some improvements to the output of check_assumptions. show_plots is turned to False by defau...
0.22.8 New features Serializing lifelines is better supported. Packages like joblib and pickle are ...
0.11.0 fixes regression in KaplanMeierFitter.plot when using Seaborn and lifelines. introduce a new...
0.23.2 New features new lifelines.plotting.rmst_plot for pretty figures of survival curves and RMST...
0.18.0 LogNormalFitter is a new univariate fitter you can use. WeibullFitter now correctly returns ...
0.22.6 New features conditional_after works for CoxPHFitter prediction models Bug fixes API Chang...
0.24.0 - 2020-02-20 This version and future versions of lifelines no longer support py35. Pandas 1....
0.25.0 - 2020-07-27 New features Formulas! lifelines now supports R-like formulas in regression mod...
0.18.3 Some performance improvements to parametric univariate models. Suppressing some irrelevant N...
0.24.10 New features New improvements when using splines model in CoxPHFitter - it should offer muc...
0.24.6 - 2020-05-05 New features At the cost of some performance, convergence is improved in many m...
0.18.5 added new plotting methods to parametric univariate models: plot_survival_function, plot_haz...
0.24.3 - 2020-03-25 New features new logx kwarg in plotting curves PH models have compute_followup_...
0.16.0 Drop Python 3.4 support. introduction of residual calculations in CoxPHFitter.compute_resid...
0.23.6 - 2020-01-07 New features New univariate model, SplineFitter, that uses cubic splines to mod...