Reparameterized Regression Models
Overview
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.
- functions fit.RLL.cens was added
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 8
- Examples that run
- 100%8 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 62%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Dependencies
Installing rregm adds 16 packages (6 with compiled code, 10 MB of source tarballs). Heaviest: invgamma 2.5 MB, Rcpp 1.8 MB, gamlss.dist 1.5 MB.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- 1.4Latest
- 1.32026-07-21 · diff ↗ ·
added 109 exports
BPAM, BPGM, BPHM, BPMD, BPMO, dBPAM, dBPGM, dBPHM, dBPMD, dBPMO, dGAM, dGGM, dGHM, dGMD, dGMO, dLL, dLL2, dLL3, dLL4, dLL5, dLL6, dLNAM, dLNGM, dLNHM, dLNMD, dLNMO, dRLL, fit.RLL, GAM, GGM and 79 more - 1.2
- RR 4.6.0 released · 2026-04-24
- 1.1
- 1.02026-01-28
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-01-28
- Total releases
- 5 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.0.0
- Download size
- 54 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("rregm")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.