intercure (version 0.1.0)

sim_frailty_cl: Generates a interval censored clustered dataset using frailty cure rate model

Description

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

Usage

sim_frailty_cl(N, theta = c(-1, 1, 0), beta = c(0, 0.5), A = 5, B = 15, prob = 0.5, nclus = 2, w = exp(-0.5))

Arguments

N

Size of the sample to be generated.

theta

Three parameters associated with the cure linear predictor.

beta

Two parameters associated with the hazard function.

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).

nclus

Number of clusters to generate with balanced sizes.

w

Shape and rate parameters value for the Gamma distribution with mean 1.

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; clus, representing the cluster id for each observation.

Examples

sim_frailty_cl(50)