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ModLR  

Information-Theoretic Approach for Moderation Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ModLR", "0.1.29")



Attach the package and use:
library("ModLR")
Maintained by
Ahmad Daryanto
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-29
Latest Update: 2026-05-29
Description:
Provides a robust implementation of information-theoretic moderation analysis using multi-model inference based on Akaike's Information Criterion (AIC) and its small-sample corrected form (Corrected AIC). The package enables researchers to compare competing model specifications and helps distinguish true interaction effects from nonlinear relationships that may produce spurious moderation. The methods build on Daryanto (2019) <doi:10.1016/j.jbusres.2019.06.012>.
How to cite:
Ahmad Daryanto (2026). ModLR: Information-Theoretic Approach for Moderation Analysis. R package version 0.1.29, https://cran.r-project.org/web/packages/ModLR. Accessed 15 Sep. 2026.
Previous versions and publish date:
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Complete documentation for ModLR
Functions, R codes and Examples using the ModLR R package
Full ModLR package functions and examples
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