Piece-wise exponential Additive Mixed Modeling tools
Like adibender/pammtools, 0 likes 0 Bookmark adibender/pammtools, 0 bookmarks 0 A Python package for survival analysis. The most flexible survival analysis package available. SurPyval can work with arbitrary combinations of observed, censored, and truncated data. SurPyval can also fit distributions with 'offsets' with ease, for example the three parameter Weibull distribution.
Like derrynknife/SurPyval, 0 likes 0 Bookmark derrynknife/SurPyval, 0 bookmarks 0 Parsnip wrappers for survival models
Like tidymodels/censored, 0 likes 0 Bookmark tidymodels/censored, 0 bookmarks 0 Extended Joint Models for Longitudinal and Survival Data
Like drizopoulos/JMbayes2, 0 likes 0 Bookmark drizopoulos/JMbayes2, 0 bookmarks 0 The msm R package for continuous-time multi-state modelling of panel data
Like chjackson/msm, 0 likes 0 Bookmark chjackson/msm, 0 bookmarks 0 R package for risk regression and prediction with censored data
Like tagteam/riskRegression, 0 likes 0 Bookmark tagteam/riskRegression, 0 bookmarks 0 Help to Fit of a Parametric Distribution to Non-Censored or Censored Data
Like lbbe-software/fitdistrplus, 0 likes 0 Bookmark lbbe-software/fitdistrplus, 0 bookmarks 0 Survival analysis built on top of scikit-learn
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