  In this review, we present a simple guide for researchers to obtain
pseudo-random samples with censored data. We focus our attention on the most
common types of censored data, such as type I, type II, and random censoring.
We discussed the necessary steps to sample pseudo-random values from long-term
survival models where an additional cure fraction is informed. For illustrative
purposes, these techniques are applied in the Weibull distribution. The
algorithms and codes in R are presented, enabling the reproducibility of our
study. Finally, we have developed an R package that encapsulates these
methodologies, providing researchers with practical tools for implementation.
