simulateCovariateData: Simulate data with independent categorical covariates

In glmfitmiss: Fitting GLMs with Missing Data in Both Responses and Covariates

Simulate data with independent categorical covariates

Description

This function generates a simulated data with independent categorical covariates. The first two covariates namely x1 and x2 are generated using random normal rnorm(n, 40, 20) and random poisson rpois(n, lambda = 4).The remaining covariates are generated at random with categories 0,1,2.

Usage

simulateCovariateData(n, nCov = 2)

Arguments

n	numner of observations to be generated for the data
nCov	4+ number of covariates to be generated for the data, the first 4 covariates generated based on pre-specified distributions

Value

returns a data frame with covariates x1, x2, ...

Examples

simulateCovariateData(10, nCov=15)

glmfitmiss documentation built on June 8, 2025, 1:59 p.m.