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rregm

1.3

Reparameterized Regression Models

0packages depend
1.9Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Diego GallardoFirst published 2026-01-284 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.2 min · r-oldrel-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
7
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
62%
Return-value docs
100%
References docs
100%

Downloads

1.9K
CRAN downloads in the past year
Rank #12,922 · ~5/day · ~160/mo
Daily download trend is not available in this view yet.
19330 days
77790 days
1.9K1 year
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Also on52 r2u11 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (2)
R >= 4.0.0stats
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Contributors (2)
Contributor · added in 1.2
Contributor · added in 1.2
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 1.3Latest
    2026-07-22 · current release · diff ↗
  • 1.2
    2026-06-08 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.1
    2026-04-11 · diff ↗
  • 1.0
    2026-03-10
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-01-28
Total releases
4 / 1 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0.0
Download size
54 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rregm")
Gallardo, D., Bourguignon, M., Brandao, M., Izbicki, R., & Magalhaes, T. (2026). rregm: Reparameterized Regression Models (Version 1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.rregm

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for rregm version 1.3 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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