Reports and plots the conditional effect of each variable involved in a multiplicative interaction across the range of its moderators, together with the region over which that effect is distinguishable from zero. Extends the classic framework of Johnson and Neyman (1936) and Johnson and Fay (1950) <doi:10.1007/BF02288864> to three-way interactions and to Bayesian models. The single entry point JN() dispatches on the fitted object, with methods for lm()/glm() models, 'lme4' models, 'RSiena' and 'multiSiena' results, and matrices of posterior draws; support for further model classes is added by writing one jn_input() method. Results are classed objects with print(), summary() and plot() methods, and the figures carry data-density panels showing how much empirical support each part of the moderator range has. A detailed introduction can be found in Krause (2026) <doi:10.48550/arXiv.2604.22051>.
| Version: | 2.0.0 |
| Depends: | R (≥ 4.4.0) |
| Imports: | ggplot2, ggpattern, patchwork |
| Suggests: | knitr, lme4, MCMCpack, rmarkdown, RSiena, testthat (≥ 3.0.0) |
| Published: | 2026-09-01 |
| DOI: | 10.32614/CRAN.package.int3ract |
| Author: | Robert W. Krause [aut, cre, cph] |
| Maintainer: | Robert W. Krause <robert.w.krause at mailbox.org> |
| BugReports: | https://github.com/RWKrause/int3ract/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/RWKrause/int3ract |
| NeedsCompilation: | no |
| Citation: | int3ract citation info |
| Materials: | README, NEWS |
| CRAN checks: | int3ract results |
| Reference manual: | int3ract.html , int3ract.pdf |
| Vignettes: |
Getting started with int3ract (source, R code) |
| Package source: | int3ract_2.0.0.tar.gz |
| Windows binaries: | r-devel: int3ract_2.0.0.zip, r-release: int3ract_2.0.0.zip, r-oldrel: int3ract_2.0.0.zip |
| macOS binaries: | r-release (arm64): int3ract_2.0.0.tgz, r-oldrel (arm64): int3ract_2.0.0.tgz, r-release (x86_64): int3ract_2.0.0.tgz, r-oldrel (x86_64): int3ract_2.0.0.tgz |
| Old sources: | int3ract archive |
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