sim_bch: Generates a interval censored dataset using the promotion...
In JBrettas/intercure: Cure Rate Estimators for Interval Censored Data

Description Usage Arguments Value Examples

View source: R/sim_bch_data.R

sim_bch returns a dataset generated by the promotion time cure rate model.

1 2	sim_bch(N, theta = c(1, 0.5, 0), lambda = 1, A = 5, B = 15, prob = 0.5)

`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 exponential random variable with mean 1, defining another right censoring case.
`prob`	Probability that individual presents treatment T1 (baseline is T0).

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. N_latent is the number of remaining tumorous cells post treatment from the promotion time motivation. Cured individuals are represented by zero on this variable.