interactions: Comprehensive, User-Friendly Toolkit for Probing Interactions

A suite of functions for conducting and interpreting analysis of statistical interaction in regression models that was formerly part of the 'jtools' package. Functionality includes visualization of two- and three-way interactions among continuous and/or categorical variables as well as calculation of "simple slopes" and Johnson-Neyman intervals (see e.g., Bauer & Curran, 2005 <doi:10.1207/s15327906mbr4003_5>). These capabilities are implemented for generalized linear models in addition to the standard linear regression context.

Version: 1.1.5
Imports: ggplot2, crayon, cli, generics, jtools (≥ 2.0.3), rlang (≥ 0.3.0), tibble
Suggests: broom, cowplot, ggstance, glue, huxtable (≥ 3.0.0), lme4, margins, sandwich, survey, knitr, rmarkdown, testthat, vdiffr
Enhances: brms, rstanarm
Published: 2021-07-02
Author: Jacob A. Long ORCID iD [aut, cre]
Maintainer: Jacob A. Long <jacob.long at sc.edu>
BugReports: https://github.com/jacob-long/interactions/issues
License: MIT + file LICENSE
URL: https://interactions.jacob-long.com
NeedsCompilation: no
Citation: interactions citation info
Materials: README NEWS
CRAN checks: interactions results

Documentation:

Reference manual: interactions.pdf
Vignettes: Plotting interactions among categorical variables in regression models
Exploring interactions with continuous predictors in regression models

Downloads:

Package source: interactions_1.1.5.tar.gz
Windows binaries: r-devel: interactions_1.1.5.zip, r-release: interactions_1.1.5.zip, r-oldrel: interactions_1.1.5.zip
macOS binaries: r-release (arm64): interactions_1.1.5.tgz, r-oldrel (arm64): interactions_1.1.5.tgz, r-release (x86_64): interactions_1.1.5.tgz
Old sources: interactions archive

Reverse dependencies:

Reverse imports: bruceR, rties
Reverse suggests: psycModel, rempsyc

Linking:

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