0.20.4 New features left-truncation support in AFT models, using the entry_col kwarg in fit() generate_datasets.piecewise_exponential_survival_data for generating piecewise exp. data Faster print_summary for AFT models. API changes Pandas is now correctly pinned to >= 0.23.0. This was always the case, but not specified in setup.py correctly. Bug fixes Better handling for extremely large numbers in print_summary PiecewiseExponentialFitter is available with from lifelines import *
0.19.2 New features ParametricUnivariateFitters, like WeibullFitter, have smoothed plots when plott...
New features Ability to create custom parametric regression models by specifying the cumulative haz...
0.25.0 - 2020-07-27 New features Formulas! lifelines now supports R-like formulas in regression mod...
0.19.3 New features new AFT models: LogNormalAFTFitter and LogLogisticAFTFitter. AFT models now acc...
0.18.0 LogNormalFitter is a new univariate fitter you can use. WeibullFitter now correctly returns ...
Changelog 0.20.0 Starting with 0.20.0, only Python3 will be supported. Over 75% of recent installs ...
0.23.0 New features new print_summary abstraction that allows HTML printing in Jupyter notebooks! s...
0.23.2 New features new lifelines.plotting.rmst_plot for pretty figures of survival curves and RMST...
0.24.10 New features New improvements when using splines model in CoxPHFitter - it should offer muc...
0.22.1 New features New univariate model, GeneralizedGammaFitter. This model contains many sub-mode...
0.19.1 New features improved stability of LogNormalFitter Matplotlib for Python3 users are not long...
0.24.0 - 2020-02-20 This version and future versions of lifelines no longer support py35. Pandas 1....
0.19.0 New features New regression model WeibullAFTFitter for fitting accelerated failure time mode...
0.20.2 New features Left censoring is now supported in univariate parametric models: .fit(..., left...
0.16.0 Drop Python 3.4 support. introduction of residual calculations in CoxPHFitter.compute_resid...
0.19.2 New features ParametricUnivariateFitters, like WeibullFitter, have smoothed plots when plott...
New features Ability to create custom parametric regression models by specifying the cumulative haz...
0.25.0 - 2020-07-27 New features Formulas! lifelines now supports R-like formulas in regression mod...
0.19.3 New features new AFT models: LogNormalAFTFitter and LogLogisticAFTFitter. AFT models now acc...
0.18.0 LogNormalFitter is a new univariate fitter you can use. WeibullFitter now correctly returns ...
Changelog 0.20.0 Starting with 0.20.0, only Python3 will be supported. Over 75% of recent installs ...
0.23.0 New features new print_summary abstraction that allows HTML printing in Jupyter notebooks! s...
0.23.2 New features new lifelines.plotting.rmst_plot for pretty figures of survival curves and RMST...
0.24.10 New features New improvements when using splines model in CoxPHFitter - it should offer muc...
0.22.1 New features New univariate model, GeneralizedGammaFitter. This model contains many sub-mode...
0.19.1 New features improved stability of LogNormalFitter Matplotlib for Python3 users are not long...
0.24.0 - 2020-02-20 This version and future versions of lifelines no longer support py35. Pandas 1....
0.19.0 New features New regression model WeibullAFTFitter for fitting accelerated failure time mode...
0.20.2 New features Left censoring is now supported in univariate parametric models: .fit(..., left...
0.16.0 Drop Python 3.4 support. introduction of residual calculations in CoxPHFitter.compute_resid...
0.19.2 New features ParametricUnivariateFitters, like WeibullFitter, have smoothed plots when plott...
New features Ability to create custom parametric regression models by specifying the cumulative haz...
0.25.0 - 2020-07-27 New features Formulas! lifelines now supports R-like formulas in regression mod...