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 |
Maintainer: | Alex Reinhart <areinhar at stat.cmu.edu> |
BugReports: | https://github.com/capnrefsmmat/regressinator/issues |
License: | MIT + file LICENSE |
URL: | https://www.refsmmat.com/regressinator/, https://github.com/capnrefsmmat/regressinator |
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: regressinator_0.1.2.zip, r-release: regressinator_0.1.2.zip, r-oldrel: regressinator_0.1.2.zip |
macOS binaries: | r-release (arm64): regressinator_0.1.2.tgz, r-oldrel (arm64): regressinator_0.1.2.tgz, r-release (x86_64): regressinator_0.1.2.tgz, r-oldrel (x86_64): not available |
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