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SGB

1.0.1.1Package record

Simplicial Generalized Beta Regression

0packages depend
2.6Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Main properties and regression procedures using a generalization of the Dirichlet distribution called Simplicial Generalized Beta distribution. It is a new distribution on the simplex (i.e. on the space of compositions or positive vectors with sum of components equal to 1). The Dirichlet distribution can be constructed from a random vector of independent Gamma variables divided by their sum. The SGB follows the same construction with generalized Gamma instead of Gamma variables. The Dirichlet exponents are supplemented by an overall shape parameter and a vector of scales. The scale vector is itself a composition and can be modeled with auxiliary variables through a log-ratio transformation. Graf, M. (2017, ISBN: 978-84-947240-0-8). See also the vignette enclosed in the package.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Monique Graf <monique.p.n.graf@bluewin.ch>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Monique",
                    family = "Graf",
                    role = c("aut", "cre"),
                    email = "monique.p.n.graf@bluewin.ch")
as necessary.

CRAN check page ↗

Slowest check: 2.2 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTE2026-09-08
  • ERROR10 OK, 2 NOTE, 1 ERROR2026-09-07
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.1.1
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
22includes a package overview page
Examples that run
100%22 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
59%

Downloads

2.6K
CRAN downloads in the past year
Rank #17,825 · ~7/day · ~215/mo
Daily download trend is not available in this view yet.
25430 days
72890 days
2.6K1 year
Compare downloads with other packages →
Also on87 r2u6 autocran

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing SGB adds 3 packages (0 with compiled code, 130 KB of source tarballs). Heaviest: numDeriv 74 KB, Formula 46 KB, alabama 10 KB.

Depends (1)
Imports (4)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (1)

Maintainer since 1.0 (2019)

Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.1.1Latest
    record
    2023-12-06 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.1
    record
    2020-02-05 · diff ↗
  • 1.0
    record
    2019-05-13
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-05-13
Total releases
3 / 7 yrs
License
GPL (>= 2) OSI
Bundled data
90 KB / 4 files
Download size
406 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SGB")

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 SGB version 1.0.1.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

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.

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