Package: rregm Type: Package Title: Reparameterized Regression Models Version: 1.3 Authors@R: c(person("Diego", "Gallardo", role = c("aut","cre"), email = "dgallardo@ubiobio.cl"), person("Marcelo", "Bourguignon", role = "aut", email = "m.p.bourguignon@gmail.com"), person("Marcia","Brandao",role="aut", email="mbrandao07@gmail.com"), person("Tiago","Magalhaes",role="ctb", email="tiago.magalhaes@ufjf.br"), person("Rafael","Izbicki",role="ctb", email="rizbicki@ufscar.br")) Maintainer: Diego Gallardo Description: 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) and Bourguignon and Gallardo (2025b) . The package also implements higher-order likelihood inference through Skovgaard-adjusted likelihood ratio statistics and predictive shrinkage estimators reparameterized beta regression models. Depends: R (>= 4.0.0), stats Imports: extraDistr, pracma, gamlss, gamlss.dist, invgamma, skewMLRM License: GPL (>= 2) Encoding: UTF-8 NeedsCompilation: no Author: Diego Gallardo [aut, cre], Marcelo Bourguignon [aut], Marcia Brandao [aut], Tiago Magalhaes [ctb], Rafael Izbicki [ctb] Packaged: 2026-07-22 01:12:00 UTC; root Repository: https://cran.r-universe.dev Date/Publication: 2026-07-22 00:12:33 UTC RemoteUrl: https://github.com/cran/rregm RemoteRef: HEAD RemoteSha: 387a00fd234dbd14df786add83111f83bee1639c