ModLR
Information-Theoretic Approach for Moderation Analysis
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.29 |
rolling linux/jammy R-4.5 | ModLR_0.1.29.tar.gz |
54.7 KiB |
0.1.29 |
rolling linux/noble R-4.5 | ModLR_0.1.29.tar.gz |
54.5 KiB |
0.1.29 |
rolling source/ R- | ModLR_0.1.29.tar.gz |
16.0 KiB |
0.1.29 |
latest linux/jammy R-4.5 | ModLR_0.1.29.tar.gz |
54.7 KiB |
0.1.29 |
latest linux/noble R-4.5 | ModLR_0.1.29.tar.gz |
54.5 KiB |
0.1.29 |
latest source/ R- | ModLR_0.1.29.tar.gz |
16.0 KiB |
0.1.29 |
2026-04-23 source/ R- | ModLR_0.1.29.tar.gz |
0 B |