rregm: Reparameterized Regression Models
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.
| Version: |
1.2 |
| Depends: |
R (≥ 4.0.0), stats |
| Imports: |
extraDistr, pracma, gamlss, gamlss.dist, invgamma, skewMLRM |
| Published: |
2026-06-08 |
| 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 |
Documentation:
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