sim_frailty_cl: Generates a interval censored clustered dataset using frailty...
In intercure: Cure Rate Estimators for Interval Censored Data

Description Usage Arguments Value Examples

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

1 2	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))

`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.

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.