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int3ract  

Johnson-Neyman Analysis of Two- and Three-Way Interactions
View on CRAN: Click here


Download and install int3ract package within the R console
Install from CRAN:
install.packages("int3ract")

Install from Github:
library("remotes")
install_github("cran/int3ract")

Install by package version:
library("remotes")
install_version("int3ract", "2.0.0")



Attach the package and use:
library("int3ract")
Maintained by
Robert W. Krause
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-05
Latest Update: 2026-05-05
Description:
Provides two- and three-way Johnson-Neyman-(Krause) plots for easier interpretation of interactions. It extends the classic framework of Johnson and Neyman (1936) and Johnson and Fay (1950) <doi:10.1007/BF02288864> to Bayesian models and three-way interactions. The functions have dedicated routines for classic lm()/glm() models, as well as 'lme4' models and 'RSiena' results. However, the package can also be used model agnostic and thus extends the availability of JN(K)-plots beyond what is currently available. A detailed introduction can be found in Krause (2026) <doi:10.48550/arXiv.2604.22051>.
How to cite:
Robert W. Krause (2026). int3ract: Johnson-Neyman Analysis of Two- and Three-Way Interactions. R package version 2.0.0, https://cran.r-project.org/web/packages/int3ract. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-09-01 15:10), 1.0.7 (2026-05-05 16:06)
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Complete documentation for int3ract
Functions, R codes and Examples using the int3ract R package
Full int3ract package functions and examples
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