Package: interactions 1.2.0
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.
Authors:
interactions_1.2.0.tar.gz
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interactions_1.2.0.tgz(r-4.4-any)interactions_1.2.0.tgz(r-4.3-any)
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interactions.pdf |interactions.html✨
interactions/json (API)
NEWS
| # Install 'interactions' in R: |
| install.packages('interactions', repos = c('https://jacob-long.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jacob-long/interactions/issues
interactionsmoderationsocial-sciencesstatistics
Last updated 2 months agofrom:df22b3ddcf. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 30 2024 |
| R-4.5-win | NOTE | Aug 30 2024 |
| R-4.5-linux | NOTE | Aug 30 2024 |
| R-4.4-win | NOTE | Aug 30 2024 |
| R-4.4-mac | NOTE | Aug 30 2024 |
| R-4.3-win | NOTE | Aug 30 2024 |
| R-4.3-mac | NOTE | Aug 30 2024 |
Exports:cat_plotglanceinteract_plotjohnson_neymanprobe_interactionsim_marginssim_slopestidy
Dependencies:backportsbroombroom.mixedclicodacodetoolscolorspacecpp11digestdplyrfansifarverforcatsfurrrfuturegenericsggplot2globalsgluegtableisobandjtoolslabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmepanderparallellypillarpkgconfigpurrrR6RColorBrewerRcpprlangsandwichscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrzoo
Exploring interactions with continuous predictors in regression models
Rendered frominteractions.Rmdusingknitr::rmarkdownon Aug 30 2024.Last update: 2022-04-10
Started: 2017-02-03
Plotting interactions among categorical variables in regression models
Rendered fromcategorical.Rmdusingknitr::rmarkdownon Aug 30 2024.Last update: 2022-04-10
Started: 2017-11-10
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create tabular output for simple margins analysis | as_huxtable.sim_margins |
| Create tabular output for simple slopes analysis | as_huxtable.sim_slopes |
| Plot interaction effects between categorical predictors. | cat_plot |
| Plot interaction effects in regression models | interact_plot |
| Calculate Johnson-Neyman intervals for 2-way interactions | johnson_neyman |
| Plot coefficients from simple slopes analysis | plot.sim_margins |
| Plot coefficients from simple slopes analysis | plot.sim_slopes |
| Probe interaction effects via simple slopes and plotting | probe_interaction |
| Perform a simple margins analysis. | sim_margins |
| Perform a simple slopes analysis. | sim_slopes |
| Tidiers for 'sim_margins()' objects. | glance.sim_margins tidy.sim_margins |
| Tidiers for 'sim_slopes()' objects. | glance.sim_slopes tidy.sim_slopes |
