simDC_weib: Simulate Doubly Censored Data

In icenReg: Regression Models for Interval Censored Data

Description

Simulates doubly censored data from a survival regression model with a Weibull baseline distribution.

Usage

simDC_weib(n = 100, b1 = 0.5, b2 = -0.5, model = "ph", shape = 2,
  scale = 2, lowerLimit = 0.75, upperLimit = 2)

Arguments

n	Number of observations
b1	Regression coefficient 1
b2	Regression coefficient 2
model	Regression model to use. Choices are "ph", "po" or "aft"
shape	Baseline shape parameter
scale	Baseline scale parameter
lowerLimit	Lower censoring threshold
upperLimit	Upper censoring threshold

Details

Exact event times are simulated according to the given survival regression model. Two covariates are used; x1 = rnorm(n), x2 = 1 - 2 * rbinom(n, 1, .5). After event times are simulated, all values less than lowerLimit are left censored and all values less than upperLimit are right censored.

Examples

simData <- simDC_weib()
fit <- ic_par(cbind(l, u) ~ x1 + x2, data = simData)

Example output

Loading required package: survival
Loading required package: Rcpp
Loading required package: coda

icenReg documentation built on Oct. 23, 2020, 8:11 p.m.