sim.survdata: Simulate Survival Data with Change Point

In CPsurv: Nonparametric Change Point Estimation for Survival Data

Description

Simulates Weibull distributed survival data from a given data set with change point above which hazard rate is constant.

Usage

sim.survdata(time, event, changeP, shape, scale, censoring, censpoint,
  times.int, parametric)

Arguments

time	Numeric vector with survival times.
event	Numeric vector indicating censoring status; 0 = alive (censored), 1 = dead (uncensored). If missing, all observations are assumed to be uncensored.
changeP	Change point.
shape	Shape parameter of Weibull distribution.
scale	Scale parameter of Weibull distribution.
censoring	Logical; if TRUE, censored data are generated.
censpoint	Censoring point for Type I censoring.
times.int	Logical; if TRUE, returned survival times are integers.
parametric	Logical; if TRUE, survival times are generated parametrically by inverse transform sampling; otherwise Kaplan-Meier is used for simulation.

Value

A dataset with survival times and corresponding censoring status ('event').

CPsurv documentation built on May 2, 2019, 8:33 a.m.