sim_bch: Generates a interval censored dataset using promotion time...

In intercure: Cure Rate Estimators for Interval Censored Data

Description

sim_frailty_data returns a dataset generated by the cure rate frailty model.

Usage

sim_bch(N, theta = c(1, 0.5, 0), lambda = 1, A = 5, B = 15,
  prob = 0.5)

Arguments

N	Size of the sample to be generated.
theta	Three parameters associated with the cure linear predictor.
lambda	Rate parameter for the exponential distributed latent variables.
A	A positive number representing a fixed right censoring.
B	A positive number which multiplies an uniform random variable, defining another right censoring case.
prob	Probability that individual presents treatment T1 (baseline is T0).

Value

A generated dataset with columns: Z, the actual event time; L, the leftmost limit of the censored interval; R, the rightmost limit of the censored interval; delta, the failure indicator; xi1, the treatment covariate assuming 1 with probability prob and 0 otherwise; xi2, second variable generated by a standard normal distribution.

Examples

sim_bch(20)

intercure documentation built on May 2, 2019, 5:33 a.m.