survivalmodels: Models for Survival Analysis

Implementations of classical and machine learning models for survival analysis, including deep neural networks via 'keras' and 'tensorflow'. Each model includes a separated fit and predict interface with consistent prediction types for predicting risk or survival probabilities. Models are either implemented from 'Python' via 'reticulate' <>, from code in GitHub packages, or novel implementations using 'Rcpp' <>. Neural networks are implemented from the 'Python' package 'pycox' <>.

Package details

AuthorRaphael Sonabend [aut] (<>), Yohann Foucher [cre] (<>)
MaintainerYohann Foucher <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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survivalmodels documentation built on May 29, 2024, 7:26 a.m.