Models for Survival Analysis R package survivalmodels version 0.1.191 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' <https://CRAN.R-project.org/package=reticulate>, from code in GitHub packages, or novel implementations using 'Rcpp' <https://CRAN.R-project.org/package=Rcpp>. Neural networks are implemented from the 'Python' package 'pycox' <https://github.com/havakv/pycox>. Software Imports: Rcpp (>= 1.0.5) LinkingTo: Rcpp Suggests: keras (>= 2.11.0), pseudo, reticulate, survival Yohann Foucher <yohann.foucher@univ-poitiers.fr> Comprehensive R Archive Network (CRAN) Raphael Sonabend [aut] (ORCID: <https://orcid.org/0000-0001-9225-4654>), Yohann Foucher [cre] (ORCID: <https://orcid.org/0000-0003-0330-7457>) MIT + file LICENSE (https://CRAN.R-project.org/package=survivalmodels/LICENSE) 2024-03-19 application/tgz https://CRAN.R-project.org/package=survivalmodels doi:10.32614/CRAN.package.survivalmodels