data_glm_nested

Xmat

Zmat

A vector of regression parameters.

beta

A vector of random effects, must be stacked.

rand_eff

Number of units within each cluster.

A vector specifying the type of outcome, must be either
logistic or poisson. Logitstic outcome will be 0/1 and poisson outcome will
be counts.

outcome_type

Takes simulation parameter arguments and 
returns simulated data for two different probability distributions. 
One is logistic (0/1) outcome and the second being poisson (count) outcomes.

Simulates regression models,
including both simple regression and generalized linear mixed
models with up to three level of nesting. Power simulations that are
flexible allowing the specification of missing data, unbalanced designs,
and different random error distributions are built into the package.

data_glm_nested: Generate logistic regression outcome

Description

Usage

Arguments