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.
| Version: | 1.3 |
| Depends: | R (≥ 4.0.0), stats |
| Imports: | extraDistr, pracma, gamlss, gamlss.dist, invgamma, skewMLRM |
| Published: | 2026-07-21 |
| DOI: | 10.32614/CRAN.package.rregm |
| Author: | Diego Gallardo [aut, cre], Marcelo Bourguignon [aut], Marcia Brandao [aut], Tiago Magalhaes [ctb], Rafael Izbicki [ctb] |
| Maintainer: | Diego Gallardo <dgallardo at ubiobio.cl> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | rregm results |
| Reference manual: | rregm.html , rregm.pdf |
| Package source: | rregm_1.3.tar.gz |
| Windows binaries: | r-devel: rregm_1.3.zip, r-release: rregm_1.3.zip, r-oldrel: rregm_1.2.zip |
| macOS binaries: | r-release (arm64): rregm_1.3.tgz, r-oldrel (arm64): rregm_1.3.tgz, r-release (x86_64): rregm_1.3.tgz, r-oldrel (x86_64): rregm_1.3.tgz |
| Old sources: | rregm archive |
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