# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "ModLR" in publications use:'
type: software
license: MIT
title: 'ModLR: Information-Theoretic Approach for Moderation Analysis'
version: 0.1.29
abstract: 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) <https://doi.org/10.1016/j.jbusres.2019.06.012>.
authors:
- family-names: Daryanto
  given-names: Ahmad
  email: ahdar_2000@yahoo.com
preferred-citation:
  type: manual
  title: 'ModLR: Moderated Regression and Model Comparison'
  authors:
  - family-names: Daryanto
    given-names: Ahmad
    email: ahdar_2000@yahoo.com
  year: '2026'
  notes: R package version 0.1.20
repository: https://ahdar1.r-universe.dev
repository-code: https://github.com/ahdar1/ModLR
commit: 25c5eb532c60b161374edb1d8b1b4e34a3a908c7
url: https://github.com/ahdar1/ModLR
date-released: '2026-05-29'
contact:
- family-names: Daryanto
  given-names: Ahmad
  email: ahdar_2000@yahoo.com