R Observatory: Metrics for gamboostLSS version 2.2-0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

gamboostLSS

2.2-0Package record

Boosting Methods for 'GAMLSS'

1packages dependsuggested by 1

40.6Kdownloads / year

79.2%test coverage

13/13flavors OK

Overview

About

Maintained by Benjamin HofnerCRAN page ↗GitHub ↗

Boosting models for fitting generalized additive models for location, shape and scale ('GAMLSS') to potentially high dimensional data.

Changes in 2.2-0

User-visible changes

Made the package dependent on gamlss.dist.

Minor changes:

Made sure that checks run without suggested packages.
Added vignette dependencies to vignette and removed hidden installation of package.
Updated URLs throughout the vignette.

From inst/NEWS.Rd in the release

Install

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

install.packages("gamboostLSS", 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("boost-R/gamboostLSS")

Development version from boost-R/gamboostLSS. 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-gamboostlss

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-gamboostLSS

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-gamboostLSS

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: 5.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-10-17
WARNING12 OK, 1 WARNING2026-10-01
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-27

Show 2 earlier changesHide 2 earlier changes

WARNING12 OK, 1 WARNING2026-06-14
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.2-0

READMEYes · 192 wordsVignettesYes · 1 · dynamicNEWSYes · mentions 2.2-0Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Cites a JSS article

Help pages: 10 (1 internal)includes a package overview page
Examples that run: 100%9 run in a plain check
Exported functions with examples: 88%
Documented parameters: 87%
Return-value docs: 63%
Help pages citing references: 90%

Vignettes (1)

gamboostLSS Tutorial PDF

How these are measured

Downloads

40.6K

CRAN downloads in the past year

Rank #2,477 · ~111/day · ~3.4K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.3K30 days

6.6K90 days

40.6K1 year

Compare downloads with other packages →

Also on242 r2u4 autocran1.6K conda_forge167 c2d4u

How downloads are counted

Repository

boost-r/gamboostlss ↗Organization: boost-R

28Stars

17Forks

9Open issues

2Open PRs

0Releases

524Commits

13Commit identities

gamboostlsscrangamlssr-packagevariable-selectionmachine-learningboosting-algorithmsr-language

524 commits · Last activity 2026-09-17 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 71%
Median days to close, 50 most recently updated closed issues: 19
Median days to close, 50 most recently updated closed PRs: 1

Stars over time

2025-10-06 · 272026-07-07 · 28

How these are measured

PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/boost-r/gamboostlss on 2026-10-21.

Continuous integration (2)

Travis CI (config file)AppVeyor

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing gamboostLSS adds 13 packages (9 with compiled code, 10 MB of source tarballs). Heaviest: partykit 2.1 MB, mboost 2.0 MB, gamlss.dist 1.5 MB.

Depends (5)

R >= 2.10.0gamlss.dist mboost stabs (>= 0.5-0)parallel

Imports (4)

graphicsgrDevicesstatsutils

LinkingTo (0)

none

Suggests (5)

gamlsssurvivalBayesX R2BayesX DirichletReg

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Suggested by 1

Depends, Imports or LinkingTo, most downloaded first

FDboost

Suggests, most downloaded first

stabs

How these are counted

Code & Tests

Datasets

People & History

People (5)

Benjamin Hofner

Author, Maintainer since 1.0-0 (2011)

Author

Author

Author

Author · added in 2.0-0

Releases (21)

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
R
R 4.3.0 released · 2023-04-21
unarchivedReturned to CRAN
2022-05-11
R
R 4.2.0 released · 2022-04-22
archivedRemoved from CRAN
2022-03-20
check problems were not corrected in time
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
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
R
R 3.1.0 released · 2014-04-10
R
R 3.0.0 released · 2013-04-03

Show 24 earlier eventsHide 24 earlier events

R
R 2.15.0 released · 2012-03-30
2.14.1Latest
record
2011-11-16 · current release · diff ↗ ·
removed 1 export
selected
R
R 2.14.0 released · 2011-10-31
2.13.2
record
2011-08-31 · diff ↗
2.2-0
record
2026-01-29 · diff ↗
2.1-0
record
2025-02-24 · diff ↗ ·
added 2 exports
DirichletAlpha, DirichletLSS
2.0-7
record
2023-03-09 · diff ↗
2.0-6
record
2022-05-11 · diff ↗
2.0-5
record
2021-01-20 · diff ↗
2.0-1.1
record
2020-04-02 · diff ↗
2.0-1
record
2018-06-15 · diff ↗ ·
added 6 exports
plot.glmboostLSS, plot.gamboostLSS, predict.mboostLSS, cvrisk.nc_mboostLSS, plot.cvriskLSS, plot.nc_cvriskLSS
2.0-0
record
2017-05-05 · diff ↗ ·
added 4 exports
selected, selected.mboostLSS, selected.stabsel_mboostLSS, stabsel.mboostLSS
1.2-2
record
2016-10-20 · diff ↗
1.2-1
record
2016-03-11 · diff ↗ ·
added 1 export
gamboostLSS_intern
1.2-0
record
2015-08-19 · diff ↗ ·
added 1 export
weighted.median
1.1-3
record
2015-01-12 · diff ↗
1.1-2
record
2014-06-26 · diff ↗ ·
removed 1 export
risk
1.1-1
record
2014-06-17 · diff ↗
1.1-0
record
2014-06-13 · diff ↗ ·
added 29 exports
model.weights, PI, predint, plot.predint, make.grid, cvrisk.mboostLSS, GaussianLSS, GaussianMu, GaussianSigma, GammaLSS, GammaMu, GammaSigma, BetaLSS, BetaMu, BetaPhi, ZIPoLSS, ZINBLSS, gamlss.Families, as.families, gamlss1parMu, gamlss2parMu, gamlss2parSigma, gamlss3parMu, gamlss3parSigma, gamlss3parNu, gamlss4parMu, gamlss4parSigma, gamlss4parNu, gamlss4parTau
1.0-3
record
2011-11-17 · diff ↗
1.0-2
record
2011-08-31 · diff ↗
1.0-1
record
2011-08-12 · diff ↗
1.0-0
record
2011-08-10
R
R 2.13.0 released · 2011-04-13

Package metadata

First published: 2011-08-10
Total releases: 21 / 15 yrs
License: GPL-2 OSI
Minimum R: ≥ 2.10.0
Bundled data: 113 KB / 2 files
Download size: 1.5 MB

Appears in task views

Machine Learning & Statistical Learning

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gamboostLSS")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 gamboostLSS version 2.2-0 [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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