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CRAN: Package simglm

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 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, MissingData CRAN checks: simglm results Documentation: Downloads: Linking:

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