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, survival probabilities, or survival distributions with 'distr6' <https://CRAN.R-project.org/package=distr6>. 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>. Novel machine learning survival models wil be included in the package in near-future updates. Neural networks are implemented from the 'Python' package 'pycox' <https://github.com/havakv/pycox> and are detailed by Kvamme et al. (2019) <https://jmlr.org/papers/v20/18-424.html>. The 'Akritas' estimator is defined in Akritas (1994) <doi:10.1214/aos/1176325630>. 'DNNSurv' is defined in Zhao and Feng (2020) <arXiv:1908.02337>.
| Version: | 0.1.13 |
| Imports: | Rcpp (≥ 1.0.5) |
| LinkingTo: | Rcpp |
| Suggests: | distr6 (≥ 1.6.6), keras, pseudo, reticulate, survival, testthat |
| Published: | 2022-03-24 |
| Author: | Raphael Sonabend 
[aut, cre] |
| Maintainer: | Raphael Sonabend <raphaelsonabend at gmail.com> |
| BugReports: | https://github.com/RaphaelS1/survivalmodels/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/RaphaelS1/survivalmodels/ |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | survivalmodels results |
Documentation:
| Reference manual: | survivalmodels.pdf |
Downloads:
| Package source: | survivalmodels_0.1.13.tar.gz |
| Windows binaries: | r-devel: survivalmodels_0.1.13.zip, r-release: survivalmodels_0.1.13.zip, r-oldrel: survivalmodels_0.1.13.zip |
| macOS binaries: | r-release (arm64): survivalmodels_0.1.13.tgz, r-oldrel (arm64): survivalmodels_0.1.13.tgz, r-release (x86_64): survivalmodels_0.1.13.tgz, r-oldrel (x86_64): survivalmodels_0.1.13.tgz |
| Old sources: | survivalmodels archive |
Reverse dependencies:
| Reverse imports: | RISCA |
Linking:
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