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.
This package can be directly installed through CRAN:
The development version of the package can be installed by using the devtools package.
The best way to become oriented with the
simglm package is through the package vignette. There are two ways to get to the vignettes (both will open a browser to view the vignette). Below is an example loading the "Intro" vignette directly:
browseVignettes()vignette("Intro", package = "simglm")
Note: If you install the development version of the package, you may need to tell R to build the vignettes when installing the
simglm package by doing the following:
install_github("lebebr01/simglm", build_vignettes = TRUE)
A flexible suite of functions to simulate nested data.
Currently supports the following features:
Bugs and feature requests are welcomed. Please track these on GitHub here: https://github.com/lebebr01/simglm/issues. I'm also open to pull requests.
NEWS.mdfile to track changes to the package.