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: | 1.1.3 |
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: | 2020-04-04 |
Author: | Jacob A. Long |
Maintainer: | Jacob A. Long <long.1377 at osu.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 |
Reference manual: | interactions.pdf |
Vignettes: |
Plotting interactions among categorical variables in regression models Exploring interactions with continuous predictors in regression models |
Package source: | interactions_1.1.3.tar.gz |
Windows binaries: | r-devel: interactions_1.1.3.zip, r-release: interactions_1.1.3.zip, r-oldrel: interactions_1.1.3.zip |
macOS binaries: | r-release: interactions_1.1.3.tgz, r-oldrel: interactions_1.1.3.tgz |
Old sources: | interactions archive |
Reverse imports: | processR, rties |
Please use the canonical form https://CRAN.R-project.org/package=interactions to link to this page.