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regressinator: Simulate and Diagnose (Generalized) Linear Models

Simulate samples from populations with known covariate distributions, generate response variables according to common linear and generalized linear model families, draw from sampling distributions of regression estimates, and perform visual inference on diagnostics from model fits.

Version:0.3.0
Depends:R (≥ 4.1)
Imports:broom,cli,DHARMa,dplyr,ggplot2,insight,nullabor,purrr,rlang,tibble,tidyr,tidyselect
Suggests:rmarkdown,knitr,mvtnorm,palmerpenguins,patchwork,testthat (≥ 3.0.0)
Published:2025-08-20
DOI:10.32614/CRAN.package.regressinator
Author:Alex ReinhartORCID iD [aut, cre]
Maintainer:Alex Reinhart <areinhar at stat.cmu.edu>
BugReports:https://github.com/capnrefsmmat/regressinator/issues
License:MIT + fileLICENSE
URL:https://www.refsmmat.com/regressinator/,https://github.com/capnrefsmmat/regressinator
NeedsCompilation:no
Citation:regressinator citation info
Materials:README,NEWS
CRAN checks:regressinator results

Documentation:

Reference manual:regressinator.html ,regressinator.pdf
Vignettes:Linear regression diagnostics (source,R code)
Logistic regression diagnostics (source,R code)
Diagnostics for other GLMs (source,R code)
An introduction to the regressinator (source,R code)

Downloads:

Package source: regressinator_0.3.0.tar.gz
Windows binaries: r-devel:regressinator_0.3.0.zip, r-release:regressinator_0.3.0.zip, r-oldrel:regressinator_0.3.0.zip
macOS binaries: r-release (arm64):regressinator_0.3.0.tgz, r-oldrel (arm64):regressinator_0.3.0.tgz, r-release (x86_64):regressinator_0.3.0.tgz, r-oldrel (x86_64):regressinator_0.3.0.tgz
Old sources: regressinator archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=regressinatorto link to this page.


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