% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ModLR-package.R, R/imports.R
\docType{package}
\name{ModLR-package}
\alias{ModLR-package}
\title{ModLR: Information-Theoretic Moderation Analysis}
\description{
The ModLR package implements an information-theoretic framework for moderation analysis
using multi-model inference based on Akaike's Information Criterion (AIC and AICc).

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}.
}
\details{
It enables researchers to compare alternative moderation models and reduces the risk
of spurious moderation effects arising from nonlinear relationships.

The methodology is based on Daryanto (2019), which introduces an
information-theoretic approach to moderation analysis.
}
\references{
Daryanto, A. (2019). Avoiding spurious moderation effects:
An information-theoretic approach to moderation analysis.
Journal of Business Research, 103, 110–118.
}
\seealso{
Useful links:
\itemize{
  \item \url{https://github.com/ahdar1/ModLR}
}

}
\author{
\strong{Maintainer}: Ahmad Daryanto \email{ahdar_2000@yahoo.com}

Authors:
\itemize{
  \item Ahmad Daryanto \email{ahdar_2000@yahoo.com}
}

}
\keyword{internal}
