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 (may not be active yet)
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: not available, r-release: not available, r-oldrel: not available
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:

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