R Observatory: Metrics for GUD version 1.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

GUD

1.0.2

Bayesian Modal Regression Based on the GUD Family

0packages depend

2.3Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Qingyang LiuFirst published 2024-05-273 releasesCRAN page ↗GitHub ↗

Provides probability density functions and sampling algorithms for three key distributions from the General Unimodal Distribution (GUD) family: the Flexible Gumbel (FG) distribution, the Double Two-Piece (DTP) Student-t distribution, and the Two-Piece Scale (TPSC) Student-t distribution. Additionally, this package includes a function for Bayesian linear modal regression, leveraging these three distributions for model fitting. The details of the Bayesian modal regression model based on the GUD family can be found at Liu, Huang, and Bai (2024) doi:10.1016/j.csda.2024.108012.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("GUD", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("rh8liuqy/Bayesian_modal_regression")

Development version from rh8liuqy/Bayesian_modal_regression. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-gud

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-GUD

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-GUD

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 12.9 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

7

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-07-29
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-07-27
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 3 earlier snapshots

NOTE2026-04-22
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 579 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 75%
Documented parameters: 100%
Return-value docs: 100%
References docs: 67%

Downloads

2.3K

CRAN downloads in the past year

Rank #14,834 · ~6/day · ~190/mo

Releases R versions

Daily download trend is not available in this view yet.

15630 days

70090 days

2.3K1 year

Compare downloads with other packages →

Also on376 r2u24 autocran

Repository

GitHub ↗ rh8liuqy/bayesian_modal_regression

5Stars

0Forks

0Open issues

0Open PRs

0Releases

10Commits

1Contributors

License GPL-3.0 · 10 commits · Last activity 2024-06-29

Stars over time

2024-07-02 · 52026-07-07 · 5

Repository practices

Upstream repositoryBeta

Checks run against github.com/rh8liuqy/bayesian_modal_regression on 2026-08-16.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

16 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.4.0

Imports (7)

methodsRcpp RcppParallel rstan (>= 2.32.6)rstantools posterior Rdpack

LinkingTo (6)

BH Rcpp RcppEigen RcppParallel rstan StanHeaders (>= 2.32.0)

Suggests (6)

MASSlatticebayesplot loo knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Qingyang Liu

Author, Maintainer

Authors (3)

Qingyang Liu

Author, Maintainer

Ray Bai

Author

Xianzheng Huang

Author

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.0.2Latest
2024-07-01 · current release · diff ↗
1.0.0
2024-06-29 · diff ↗
0.0.5
2024-05-27
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-05-27
Total releases: 3 / 2 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.4.0
Bundled data: 1.6 KB / 1 file
Download size: 514 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GUD")

Format

Liu, Q., Bai, R., & Huang, X. (2024). GUD: Bayesian Modal Regression Based on the GUD Family (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.GUD

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for GUD version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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