install_torch

Installs the python 'torch' package via reticulate. Note the
default for <code>pip</code> is changed to <code>TRUE</code>.

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

survivalmodels

Models for Survival Analysis

Raphael Sonabend

install_torch function

<dl><dt>method, conda, pip</dt>
<dd>See reticulate::py_install</dd></dl>

Arguments

Install Torch With Reticulate — install_torch

<dl>

<dt>method, conda, pip</dt>
<dd>See reticulate::py_install</dd>

</dl>

install_torch: Install Torch With Reticulate

Description

Usage

Value

Arguments