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>.
| Version: | 0.1.191 |
| Imports: | Rcpp (≥ 1.0.5) |
| LinkingTo: | Rcpp |
| Suggests: | keras (≥ 2.11.0), pseudo, reticulate, survival |
| Published: | 2024-03-19 |
| Author: | Raphael Sonabend 
[aut],
Yohann Foucher
[cre] |
| Maintainer: | Yohann Foucher <yohann.foucher at univ-poitiers.fr> |
| BugReports: | https://github.com/foucher-y/survivalmodels/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/RaphaelS1/survivalmodels/ |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | survivalmodels results |
Documentation:
| Reference manual: | survivalmodels.pdf |
Downloads:
| Package source: | survivalmodels_0.1.191.tar.gz |
| Windows binaries: | r-prerel: survivalmodels_0.1.191.zip, r-release: survivalmodels_0.1.191.zip, r-oldrel: survivalmodels_0.1.191.zip |
| macOS binaries: | r-prerel (arm64): survivalmodels_0.1.191.tgz, r-release (arm64): survivalmodels_0.1.191.tgz, r-oldrel (arm64): survivalmodels_0.1.191.tgz, r-prerel (x86_64): survivalmodels_0.1.191.tgz, r-release (x86_64): survivalmodels_0.1.191.tgz |
| Old sources: | survivalmodels archive |
Reverse dependencies:
| Reverse suggests: | survivalSL |
Linking:
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