Function to simulate survival data from a mixture of normal distribution.

simulate_data() simulates data from a mixture model.

Usage

simulate_data(
  n = 4000,
  mixture_components = 2,
  k = 2,
  percentage_censored = 0.4,
  starting_seed = sample(1:2^28, 1)
)

Arguments

n

Number of observations desired.

mixture_components

Number of mixtures to include in the generation of the data.

k

number of covariates generated (the total of covariates will be intercept + (k - 1) covariates).

percentage_censored

Percentage of censored observations (defined as decimal value between 0 and 1). This will generate a delta vector in which 1 is an event that ocurred and 0 is a censored observation.

starting_seed

Seed to start the random number generation.