rpch

ppch

Piecewise constant hazard distribution

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 

rpch function

<dl><dt>n</dt>
<dd>sample size</dd>
<dt>lambda</dt>
<dd>rate parameters</dd>
<dt>breaks</dt>
<dd>time cut-points</dd></dl>

Arguments

Piecewise constant hazard distribution — rpch

<dl>

<dt>n</dt>
<dd>sample size</dd>


<dt>lambda</dt>
<dd>rate parameters</dd>


<dt>breaks</dt>
<dd>time cut-points</dd>

</dl>

rpch: Piecewise constant hazard distribution

Description

Usage

Arguments