sim_dat: Simulate data to fit pgmultinom

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

Description

Simulate data to fit pgmultinom

Usage

sim_dat(
  n = 1000,
  miss_prob = 0,
  K = 6,
  p = 3,
  q = 5,
  covX = diag(3),
  allmiss = FALSE,
  null_scenario = FALSE,
  equal_probs = FALSE
)

Arguments

n	sample size
miss_prob	proportion of cases with missing outcome data
K	number of outcome categories
p	number of exposures
q	number of covariates
covX	covariance of exposure data for simulation
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

summary of simulation results

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