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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' <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>.
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Package details |
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| Author | Raphael Sonabend [aut] (<https://orcid.org/0000-0001-9225-4654>), Yohann Foucher [cre] (<https://orcid.org/0000-0003-0330-7457>) |
| Maintainer | Yohann Foucher <yohann.foucher@univ-poitiers.fr> |
| License | MIT + file LICENSE |
| Version | 0.1.191 |
| URL | https://github.com/RaphaelS1/survivalmodels/ |
| Package repository | View on CRAN |
| Installation |
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