phregR

FastCoxPLstrataR

Fast Cox PH regression with R implementation to play and adjust in R function: FastCoxPLstrataR

Implementation of various statistical models for multivariate
event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate
cumulative incidence models <doi:10.1002/sim.6016>, and bivariate random
effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>.
Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray,
Ghosh-Lin, Binomial regression) with fast computation of influence functions.

Klaus Holst

mets

Analysis of Multivariate Event Times

Klaus K. Holst

Thomas Scheike 

phregR function

<dl><dt>formula</dt>
<dd>formula with 'Surv' outcome (see <code>coxph</code>)</dd>
<dt>data</dt>
<dd>data frame</dd>
<dt>offset</dt>
<dd>offsets for cox model</dd>
<dt>weights</dt>
<dd>weights for Cox score equations</dd>
<dt>...</dt>
<dd>Additional arguments to lower level funtions</dd></dl>

Arguments

Author

Fast Cox PH regression and calculations done in R to make play and adjustments easy — phregR

<dl>

<dt>formula</dt>
<dd>formula with 'Surv' outcome (see <code>coxph</code>)</dd>


<dt>data</dt>
<dd>data frame</dd>


<dt>offset</dt>
<dd>offsets for cox model</dd>


<dt>weights</dt>
<dd>weights for Cox score equations</dd>


<dt>...</dt>
<dd>Additional arguments to lower level funtions</dd>

</dl>

phregR: Fast Cox PH regression and calculations done in R to make play and adjustments easy

Description

Usage

Arguments

Author

Details