Information-Theoretic Approach for Moderation Analysis R package ModLR version 0.1.29 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>. Software Imports: stats, ggplot2, broom, lmtest, sandwich, rlang Suggests: knitr, rmarkdown Ahmad Daryanto <ahdar_2000@yahoo.com> Comprehensive R Archive Network (CRAN) Ahmad Daryanto [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=ModLR/LICENSE) 2026-05-29 application/tgz https://CRAN.R-project.org/package=ModLR doi:10.32614/CRAN.package.ModLR