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: 0.6.0
Depends: R (≥ 3.3.0), stats, Matrix, dplyr, purrr, tidyr, tibble
Suggests: knitr, lme4, nlme, testthat, shiny, e1071, ggplot2
Published: 2017-07-24
Author: Brandon LeBeau [aut, cre]
Maintainer: Brandon LeBeau <lebebr01+simglm at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: simglm results

Downloads:

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_0.6.0.tar.gz
Windows binaries: r-devel: simglm_0.6.0.zip, r-release: simglm_0.6.0.zip, r-oldrel: simglm_0.6.0.zip
OS X El Capitan binaries: r-release: simglm_0.6.0.tgz
OS X Mavericks binaries: r-oldrel: simglm_0.6.0.tgz
Old sources: simglm archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=simglm to link to this page.