sim_study: Run a simulation study using pgmultinom

In lvhoskovec/pgmultinomr: Fit Bayesian Categorical Regression Model with Polya-Gamma Augmentation

Description

Run a simulation study using pgmultinom

Usage

sim_study(
  simnum = 1,
  niter = 1000,
  nburn = 500,
  n = 1000,
  miss_prob = 0,
  allmiss = FALSE,
  null_scenario = FALSE,
  equal_probs = FALSE
)

Arguments

simnum	simulation number
niter	number of MCMC iterations
nburn	number of burn-in iterations
n	sample size
miss_prob	proportion of cases with missing outcome data
allmiss	logical; if TRUE then all outcomes are missing for any case with missing outcome data, default is FALSE
null_scenario	logical; if TRUE then exposures and covariates have no an effect on outcome, default is FALSE
equal_probs	logical; if TRUE the simulation setting is equal probabilities, if FALSE the simulation setting is data probabilities

Value

a list with elements

lvhoskovec/pgmultinomr documentation built on Dec. 21, 2021, 12:45 p.m.