R Observatory: Metrics for GMMBoost version 1.1.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

GMMBoost

1.1.5Package record

Likelihood-Based Boosting for Generalized Mixed Models

0packages depend

3.7Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Andreas GrollCRAN page ↗

Likelihood-based boosting approaches for generalized mixed models are provided.

Install

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

install.packages("GMMBoost", 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-gmmboost

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-GMMBoost

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-GMMBoost

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

2NOTE11OK

Check messages

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Andreas Groll <groll@mathematik.uni-muenchen.de>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Andreas",
                    family = "Groll",
                    role = c("aut", "cre"),
                    email = "groll@mathematik.uni-muenchen.de")
as necessary.

CRAN check page ↗

Slowest check: 1.9 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.5

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 9includes a package overview page
Examples that run: 83%5 run in a plain check · 1 never run
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 67%

Also includes 2 demo scripts (run with demo())

How these are measured

Downloads

3.7K

CRAN downloads in the past year

Rank #10,313 · ~10/day · ~309/mo

Releases R versions

Daily download trend is not available in this view yet.

36230 days

99990 days

3.7K1 year

Compare downloads with other packages →

Also on93 r2u4 autocran116 c2d4u

How downloads are counted

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Installing GMMBoost adds 4 packages (2 with compiled code, 2.0 MB of source tarballs). Heaviest: Rcpp 1.8 MB, magic 176 KB, minqa 53 KB.

Depends (0)

none

Imports (2)

minqa magic

LinkingTo (0)

none

Suggests (0)

none

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

Andreas Groll

Maintainer since 1.0.0 (2011)

Releases (8)

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
1.1.5Latest
record
2023-08-19 · 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
1.1.3
record
2020-02-03 · diff ↗
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
1.1.2
record
2013-11-22 · diff ↗

Show 9 earlier eventsHide 9 earlier events

1.1.1
record
2013-09-26 · diff ↗
R
R 3.0.0 released · 2013-04-03
1.0.3
record
2012-09-28 · diff ↗
R
R 2.15.0 released · 2012-03-30
1.0.2
record
2012-03-29 · diff ↗
1.0.1
record
2011-11-21 · diff ↗
R
R 2.14.0 released · 2011-10-31
1.0.0
record
2011-10-27
R
R 2.13.0 released · 2011-04-13

Package metadata

First published: 2011-10-27
Total releases: 8 / 15 yrs
License: GPL-2 OSI
Bundled data: 4.2 KB / 2 files
Download size: 38 KB

Appears in task views

Machine Learning & Statistical Learning

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GMMBoost")

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 GMMBoost version 1.1.5 [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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