Package: rregm
Type: Package
Title: Reparameterized Regression Models
Version: 1.2
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 and beta prime distributions. These models can be
             parameterized based on the mean, median, mode, geometric mean and harmonic mean, as 
             specified by the user.  
             For details, see Bourguignon and Gallardo (2025a) <doi:10.1016/j.chemolab.2025.105382> and
             Bourguignon and Gallardo (2025b) <doi:10.1111/stan.70007>.
             Additional tools are provided for higher-order likelihood inference through 
             Skovgaard-adjusted likelihood ratio statistics and for predictive shrinkage 
             estimation in 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: 2026-06-08 03:21:58 UTC; Diego
Repository: CRAN
Date/Publication: 2026-06-08 06:50:02 UTC
Built: R 4.5.2; ; 2026-06-08 08:18:44 UTC; unix
