R Observatory: Metrics for GLDreg version 1.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

GLDreg

1.1.2Package record

Fit GLD Regression/Quantile/AFT Model to Data

0packages depend

3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Steve SuCRAN page ↗

Owing to the rich shapes of Generalised Lambda Distributions (GLDs), GLD standard/quantile/Accelerated Failure Time (AFT) regression is a competitive flexible model compared to standard/quantile/AFT regression. The proposed method has some major advantages: 1) it provides a reference line which is very robust to outliers with the attractive property of zero mean residuals and 2) it gives a unified, elegant quantile regression model from the reference line with smooth regression coefficients across different quantiles. For AFT model, it also eliminates the needs to try several different AFT models, owing to the flexible shapes of GLD. The goodness of fit of the proposed model can be assessed via QQ plots and Kolmogorov-Smirnov tests and data driven smooth test, to ensure the appropriateness of the statistical inference under consideration. Statistical distributions of coefficients of the GLD regression line are obtained using simulation, and interval estimates are obtained directly from simulated data. References include the following: Su (2015) "Flexible Parametric Quantile Regression Model" doi:10.1007/s11222-014-9457-1, Su (2021) "Flexible parametric accelerated failure time model"doi:10.1080/10543406.2021.1934854.

Install

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

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

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

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-gldreg

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-GLDreg

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-GLDreg

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 7.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.2

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 14 (2 internal)includes a package overview page
Examples that run: 73%8 run in a plain check · 3 never run
Exported functions with examples: 91%
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 71%

How these are measured

Downloads

3K

CRAN downloads in the past year

Rank #14,767 · ~8/day · ~248/mo

Releases R versions

Daily download trend is not available in this view yet.

34630 days

80490 days

3K1 year

Compare downloads with other packages →

Also on67 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing GLDreg adds 24 packages (11 with compiled code, 21 MB of source tarballs). Heaviest: ggplot2 6.0 MB, spacefillr 3.1 MB, Rcpp 1.8 MB.

Depends (5)

GLDEX ddstgrDevicesgraphicsstats

Imports (0)

none

LinkingTo (0)

none

Suggests (2)

MASSquantreg

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Steve Su

R Core Team

Author · added in 1.1.0

Listed in earlier versions (1)

with contributions from: R core team for qqgld.default function.

no longer listed · 1.0 to 1.0.7

Releases (11)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.1.2Latest
record
2025-07-23 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.1.1
record
2024-01-23 · diff ↗
R
R 4.3.0 released · 2023-04-21
unarchivedReturned to CRAN
2022-05-13
1.1.0
record
2022-05-13 · diff ↗
archivedRemoved from CRAN
2022-04-29
requires archived package 'GLDEX'
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
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
1.0.7
record
2017-02-28 · diff ↗

Show 10 earlier eventsHide 10 earlier events

1.0.6
record
2017-01-29 · diff ↗
1.0.5
record
2016-12-26 · diff ↗
1.0.4
record
2016-07-28 · diff ↗
R
R 3.3.0 released · 2016-05-03
1.0.3
record
2015-07-04 · diff ↗
R
R 3.2.0 released · 2015-04-16
1.0.2
record
2015-03-05 · diff ↗
1.0.1
record
2014-12-09 · diff ↗
1.0
record
2014-11-11
R
R 3.1.0 released · 2014-04-10

Package metadata

First published: 2014-11-11
Total releases: 11 / 12 yrs
License: GPL (>= 3) OSI
Bundled data: 15 KB / 1 file
Download size: 34 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GLDreg")

Format

Su, S., & Core Team, R. (2025). GLDreg: Fit GLD Regression/Quantile/AFT Model to Data (Version 1.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.GLDreg

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for GLDreg version 1.1.2 [Data set]. HJJB, LLC. Data release v2026-10-19. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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