0.22.1 New features New univariate model, GeneralizedGammaFitter. This model contains many sub-models, so it is a good model to check fits. added a warning when a time-varying dataset had instantaneous deaths. added a initial_point option in univariate parametric fitters. initial_point kwarg is present in parametric univariate fitters .fit event_table is now an attribute on all univariate fitters (if right censoring) improvements to lifelines.utils.gamma API changes In AFT models, the column names in confidence_intervals_ has changed to include the alpha value. In AFT models, some column names in .summary and .print_summary has changed to include the alpha value. In AFT models, some column names in .summary and .print_summary includes co...
0.18.2 New univariate fitter PiecewiseExponentialFitter for creating a stepwise hazard model. See d...
0.24.11 - 2020-06-17 New features new spline regression model CRCSplineFitter based on the paper "A...
0.13.0 removes is_significant and test_result from StatisticalResult. Users can instead choose thei...
0.18.0 LogNormalFitter is a new univariate fitter you can use. WeibullFitter now correctly returns ...
0.23.0 New features new print_summary abstraction that allows HTML printing in Jupyter notebooks! s...
0.21.0 New features weights is now a optional kwarg for parametric univariate models. all univariat...
0.18.5 added new plotting methods to parametric univariate models: plot_survival_function, plot_haz...
0.22.5 - 2019-09-20 New features Improvements to the repr of models that takes into accounts weight...
0.20.2 New features Left censoring is now supported in univariate parametric models: .fit(..., left...
New features Ability to create custom parametric regression models by specifying the cumulative haz...
0.19.2 New features ParametricUnivariateFitters, like WeibullFitter, have smoothed plots when plott...
0.23.6 - 2020-01-07 New features New univariate model, SplineFitter, that uses cubic splines to mod...
0.26.0 - 2021-05-26 New features .BIC_ is now present on fitted models. CoxPHFitter with spline bas...
0.24.10 New features New improvements when using splines model in CoxPHFitter - it should offer muc...
0.19.0 New features New regression model WeibullAFTFitter for fitting accelerated failure time mode...
0.18.2 New univariate fitter PiecewiseExponentialFitter for creating a stepwise hazard model. See d...
0.24.11 - 2020-06-17 New features new spline regression model CRCSplineFitter based on the paper "A...
0.13.0 removes is_significant and test_result from StatisticalResult. Users can instead choose thei...
0.18.0 LogNormalFitter is a new univariate fitter you can use. WeibullFitter now correctly returns ...
0.23.0 New features new print_summary abstraction that allows HTML printing in Jupyter notebooks! s...
0.21.0 New features weights is now a optional kwarg for parametric univariate models. all univariat...
0.18.5 added new plotting methods to parametric univariate models: plot_survival_function, plot_haz...
0.22.5 - 2019-09-20 New features Improvements to the repr of models that takes into accounts weight...
0.20.2 New features Left censoring is now supported in univariate parametric models: .fit(..., left...
New features Ability to create custom parametric regression models by specifying the cumulative haz...
0.19.2 New features ParametricUnivariateFitters, like WeibullFitter, have smoothed plots when plott...
0.23.6 - 2020-01-07 New features New univariate model, SplineFitter, that uses cubic splines to mod...
0.26.0 - 2021-05-26 New features .BIC_ is now present on fitted models. CoxPHFitter with spline bas...
0.24.10 New features New improvements when using splines model in CoxPHFitter - it should offer muc...
0.19.0 New features New regression model WeibullAFTFitter for fitting accelerated failure time mode...
0.18.2 New univariate fitter PiecewiseExponentialFitter for creating a stepwise hazard model. See d...
0.24.11 - 2020-06-17 New features new spline regression model CRCSplineFitter based on the paper "A...
0.13.0 removes is_significant and test_result from StatisticalResult. Users can instead choose thei...