0.19.2 New features ParametricUnivariateFitters, like WeibullFitter, have smoothed plots when plotting (vs stepped plots) Bug fixes The ExponentialFitter log likelihood value was incorrect - inference was correct however. Univariate fitters are more flexiable and can allow 2-d and DataFrames as inputs
0.24.9 - 2020-06-05 New features Faster NPMLE for interval censored data New weightings available i...
0.24.10 New features New improvements when using splines model in CoxPHFitter - it should offer muc...
0.21.2 - 2019-05-16 New features New regression model: PiecewiseExponentialRegressionFitter is avai...
0.18.0 LogNormalFitter is a new univariate fitter you can use. WeibullFitter now correctly returns ...
0.22.1 New features New univariate model, GeneralizedGammaFitter. This model contains many sub-mode...
0.19.0 New features New regression model WeibullAFTFitter for fitting accelerated failure time mode...
0.18.1 bug fixes in LogNormalFitter variance estimates improve convergence of LogNormalFitter. We n...
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...
0.21.0 New features weights is now a optional kwarg for parametric univariate models. all univariat...
0.23.0 New features new print_summary abstraction that allows HTML printing in Jupyter notebooks! s...
0.13.0 removes is_significant and test_result from StatisticalResult. Users can instead choose thei...
0.19.3 New features new AFT models: LogNormalAFTFitter and LogLogisticAFTFitter. AFT models now acc...
0.18.2 New univariate fitter PiecewiseExponentialFitter for creating a stepwise hazard model. See d...
0.20.4 New features left-truncation support in AFT models, using the entry_col kwarg in fit() gener...
0.24.9 - 2020-06-05 New features Faster NPMLE for interval censored data New weightings available i...
0.24.10 New features New improvements when using splines model in CoxPHFitter - it should offer muc...
0.21.2 - 2019-05-16 New features New regression model: PiecewiseExponentialRegressionFitter is avai...
0.18.0 LogNormalFitter is a new univariate fitter you can use. WeibullFitter now correctly returns ...
0.22.1 New features New univariate model, GeneralizedGammaFitter. This model contains many sub-mode...
0.19.0 New features New regression model WeibullAFTFitter for fitting accelerated failure time mode...
0.18.1 bug fixes in LogNormalFitter variance estimates improve convergence of LogNormalFitter. We n...
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...
0.21.0 New features weights is now a optional kwarg for parametric univariate models. all univariat...
0.23.0 New features new print_summary abstraction that allows HTML printing in Jupyter notebooks! s...
0.13.0 removes is_significant and test_result from StatisticalResult. Users can instead choose thei...
0.19.3 New features new AFT models: LogNormalAFTFitter and LogLogisticAFTFitter. AFT models now acc...
0.18.2 New univariate fitter PiecewiseExponentialFitter for creating a stepwise hazard model. See d...
0.20.4 New features left-truncation support in AFT models, using the entry_col kwarg in fit() gener...
0.24.9 - 2020-06-05 New features Faster NPMLE for interval censored data New weightings available i...
0.24.10 New features New improvements when using splines model in CoxPHFitter - it should offer muc...
0.21.2 - 2019-05-16 New features New regression model: PiecewiseExponentialRegressionFitter is avai...