survivalmodels

survivalmodels-package

survivalmodels implements classical and machine learning models for survival analysis that either
do not already exist in R or for more efficient implementations.

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>.

Yohann Foucher

Models for Survival Analysis

Raphael Sonabend

survivalmodels-package function

Maintainer: Yohann Foucher <a href="/link/yohann.foucher%40univ-poitiers.fr?package=survivalmodels&version=0.1.191" data-mini-rdoc="survivalmodels::yohann.foucher@univ-poitiers.fr">yohann.foucher@univ-poitiers.fr</a> (<a href="https://orcid.org/0000-0003-0330-7457">ORCID</a>)
Authors:<ul>
<li>Raphael Sonabend (<a href="https://orcid.org/0000-0001-9225-4654">ORCID</a>)</li>
</ul>

Author

survivalmodels: Models for Survival Analysis — survivalmodels-package

Maintainer: Yohann Foucher <a href='mailto:yohann.foucher@univ-poitiers.fr'>yohann.foucher@univ-poitiers.fr</a> (<a href='https://orcid.org/0000-0003-0330-7457'>ORCID</a>)
Authors:<ul>
<li>Raphael Sonabend (<a href='https://orcid.org/0000-0001-9225-4654'>ORCID</a>)</li>
</ul>

survivalmodels-package: survivalmodels: Models for Survival Analysis

Description

Arguments

Author

See Also