simulate_data: Function to simulate survival data from a mixture of normal...

In lnmixsurv: Bayesian Mixture Log-Normal Survival Model

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

Description

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.

lnmixsurv documentation built on Sept. 11, 2024, 7:18 p.m.