install_pycox

Installs the python 'pycox' 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_pycox function

<dl><dt>method, conda, pip</dt>
<dd>See reticulate::py_install.</dd>
<dt>install_torch</dt>
<dd>If <code>TRUE</code> installs the dependency <code>torch</code> package as
well.</dd>
<dt>...</dt>
<dd>Passed to reticulate::py_install.</dd></dl>

Arguments

Install Pycox With Reticulate — install_pycox

<dl>

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


<dt>install_torch</dt>
<dd>If <code>TRUE</code> installs the dependency <code>torch</code> package as
well.</dd>


<dt>...</dt>
<dd>Passed to reticulate::py_install.</dd>

</dl>

install_pycox: Install Pycox With Reticulate

Description

Usage

Value

Arguments