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Applr: Visualize and Explain Linear Models

Tools for visualizing and explaining linear models fit with lm(). Draws 2D slices of higher-dimensional models in base graphics and as a 'ggplot2' layer, offers an interactive 'plotly' 3D scatter with a fitted surface for two-predictor models, and renders model equations as plain text or 'LaTeX'.

Version: 1.0.0
Depends: R (≥ 4.1.0)
Imports: ggplot2 (≥ 3.5.0), plotly, rlang, graphics, grDevices, grid, stats
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-10-22
DOI: 10.32614/CRAN.package.Applr
Author: Cameron McClellan [aut], James Beeson [aut, cre], Garrett Saunders [ths]
Maintainer: James Beeson <jamesbeeson01 at gmail.com>
BugReports: https://github.com/saundersg/Applr/issues
License: MIT + file LICENSE
URL: https://saundersg.github.io/Applr/, https://github.com/saundersg/Applr
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: Applr results

Documentation:

Reference manual: Applr.html , Applr.pdf
Vignettes: Getting started with Applr (source, R code)

Downloads:

Package source: Applr_1.0.0.tar.gz
Windows binaries: r-devel: Applr_1.0.0.zip, r-release: Applr_1.0.0.zip, r-oldrel: Applr_1.0.0.zip
macOS binaries: r-release (arm64): Applr_1.0.0.tgz, r-oldrel (arm64): Applr_1.0.0.tgz, r-release (x86_64): Applr_1.0.0.tgz, r-oldrel (x86_64): Applr_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Applr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.