simglm: Simulate Models Based on the Generalized Linear Model

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: 0.8.0
Depends: R (≥ 3.6.0)
Imports: stats, methods, Matrix, rlang, dplyr, purrr, broom, future.apply
Suggests: knitr, lme4, nlme, testthat, shiny, e1071, ggplot2, tidyr, geepack, rmarkdown, future, splines, covr
Published: 2020-06-12
Author: Brandon LeBeau [aut, cre]
Maintainer: Brandon LeBeau <lebebr01+simglm at gmail.com>
BugReports: https://github.com/lebebr01/simglm/issues
License: MIT + file LICENSE
URL: https://github.com/lebebr01/simglm
NeedsCompilation: no
Materials: README NEWS
In views: ClinicalTrials
CRAN checks: simglm results

Downloads:

Reference manual: simglm.pdf
Vignettes: Simulation Argument Details for 'simglm'
Tidy Simulation with 'simglm'
Package source: simglm_0.8.0.tar.gz
Windows binaries: r-devel: simglm_0.8.0.zip, r-release: simglm_0.8.0.zip, r-oldrel: simglm_0.8.0.zip
macOS binaries: r-release: simglm_0.8.0.tgz, r-oldrel: simglm_0.8.0.tgz
Old sources: simglm archive

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