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: 0.8.9
Depends: R (≥ 3.6.0)
Imports: stats, methods, rlang, dplyr, purrr, broom, future.apply
Suggests: knitr, lme4, nlme, testthat, shiny, e1071, ggplot2, tidyr, geepack, rmarkdown, future, splines, covr
Published: 2022-02-07
DOI: 10.32614/CRAN.package.simglm
Author: Brandon LeBeau [aut, cre]
Maintainer: Brandon LeBeau <lebebr01+simglm at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
In views: ClinicalTrials, MissingData
CRAN checks: simglm results


Reference manual: simglm.pdf
Vignettes: Simulation Argument Details for 'simglm'
Tidy Simulation with 'simglm'


Package source: simglm_0.8.9.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): simglm_0.8.9.tgz, r-oldrel (arm64): simglm_0.8.9.tgz, r-release (x86_64): simglm_0.8.9.tgz, r-oldrel (x86_64): simglm_0.8.9.tgz
Old sources: simglm archive


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