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

simulate_data.Rd

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.

Value

A list with two elements: data and real_values. The data element is a tibble with the simulated data. The real_values is a tibble with the real values of the parameters used to generate the data.