Package: rregm
Type: Package
Title: Reparameterized Regression Models
Version: 1.4
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 <dgallardo@ubiobio.cl>
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) <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.
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: 2026-10-05 08:20:53 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-09-05 04:40:26 UTC
RemoteUrl: https://github.com/cran/rregm
RemoteRef: HEAD
RemoteSha: 2413d42f81ec711a7374d936cfa48ac8f41c9ea5
