Reparameterized Regression Models R package rregm version 1.3 Provides estimation and data generation tools for several new regression models, including the gamma, beta, inverse gamma, beta prime, log-normal and log-logistic distributions. These models can be parameterized based on the mean, median, mode, geometric mean and harmonic mean, except for the log-logistic model which is based on alternative parametrizations. For details, see Bourguignon and Gallardo (2025a) <doi:10.1016/j.chemolab.2025.105382> and Bourguignon and Gallardo (2025b) <doi:10.1111/stan.70007>. The package also implements higher-order likelihood inference through Skovgaard-adjusted likelihood ratio statistics and predictive shrinkage estimators reparameterized beta regression models. Software Depends: R (>= 4.0.0), stats Imports: extraDistr, pracma, gamlss, gamlss.dist, invgamma, skewMLRM Diego Gallardo <dgallardo@ubiobio.cl> Comprehensive R Archive Network (CRAN) Diego Gallardo [aut, cre], Marcelo Bourguignon [aut], Marcia Brandao [aut], Tiago Magalhaes [ctb], Rafael Izbicki [ctb] GPL (>= 2) 2026-07-21 application/tgz https://CRAN.R-project.org/package=rregm doi:10.32614/CRAN.package.rregm