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: 0.1.2
Depends: R (≥ 4.1)
Imports: broom, cli, dplyr, ggplot2, insight, nullabor, purrr, rlang, tibble, tidyr, tidyselect
Suggests: rmarkdown, knitr, mvtnorm, palmerpenguins, patchwork, testthat (≥ 3.0.0)
Published: 2023-08-11
Author: Alex Reinhart ORCID iD [aut, cre]
Maintainer: Alex Reinhart <areinhar at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: regressinator results


Reference manual: regressinator.pdf
Vignettes: Linear regression diagnostics
Logistic regression diagnostics
Diagnostics for other GLMs
An introduction to the regressinator


Package source: regressinator_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): regressinator_0.1.2.tgz, r-oldrel (arm64): not available, r-release (x86_64): regressinator_0.1.2.tgz, r-oldrel (x86_64): not available


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