simglm: Simulate Models Based on the Generalized Linear Model

Easily 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.

Version: 0.5.0
Depends: R (≥ 3.3.0), stats, Matrix, dplyr, purrr, tidyr, tibble
Suggests: knitr, lme4, nlme, testthat, shiny, e1071, ggplot2
Published: 2017-05-25
Author: Brandon LeBeau [aut, cre]
Maintainer: Brandon LeBeau <lebebr01+simglm at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: simglm results


Reference manual: simglm.pdf
Vignettes: Simulate generalized linear models with simglm
Introduction to simglm
Simulate Missing Data
Power with simglm
Unbalanced Data
Package source: simglm_0.5.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: simglm_0.5.0.tgz
OS X Mavericks binaries: r-oldrel: simglm_0.5.0.tgz


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