rpexp

number of observations. If <code>length(n) &gt; 1</code>, the length is
 taken to be the number required.

rate

vector of the same length as <code>rate</code>, giving the times at
 which the rate changes. The first element of <code>t</code> should be 0,
 and <code>t</code> should be in increasing order.

This is a copy of the same function from <code>rpexp</code> from package
msm.
Copied here to reduce dependencies.

internal

The Piece-wise exponential (Additive Mixed) Model
(PAMM; Bender and others (2018) <doi: 10.1177/1471082X17748083>) is a
powerful model class for the analysis of survival (or time-to-event) data,
based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender and others (2019)), as well as support for left-truncated, competing risks and recurrent events data.
pammtools provides tidy workflow for survival analysis with PAMMs,
including data simulation, transformation and other functions for data
preprocessing and model post-processing as well as visualization.

Andreas Bender

rpexp: Draw random numbers from piece-wise exponential distribution.

Description

Usage

Arguments