R Observatory: Metrics for glmmLasso version 1.6.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

glmmLasso

1.6.4Package record

Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation

0packages depend

10.6Kdownloads / year

15.4%test coverage

13/13flavors OK

Overview

About

Maintained by Andreas GrollCRAN page ↗

A variable selection approach for generalized linear mixed models by L1-penalized estimation is provided, see Groll and Tutz (2014) doi:10.1007/s11222-012-9359-z. See also Groll and Tutz (2017) doi:10.1007/s10985-016-9359-y for discrete survival models including heterogeneity.

Install

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

install.packages("glmmLasso", 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-glmmlasso

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-glmmLasso

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-glmmLasso

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: 4.6 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18

Show 1 earlier changeHide 1 earlier change

NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.6.4

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 6includes a package overview page
Examples that run: 25%1 run in a plain check · 3 never run
Exported functions with examples: 100%
Documented parameters: 94%
Return-value docs: 100%
Help pages citing references: 83%

Also includes 1 demo script (run with demo())

How these are measured

Downloads

10.6K

CRAN downloads in the past year

Rank #4,132 · ~29/day · ~882/mo

Releases R versions

Daily download trend is not available in this view yet.

93030 days

2.2K90 days

10.6K1 year

Compare downloads with other packages →

Also on444 r2u2 autocran80 c2d4u

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing glmmLasso adds 3 packages (3 with compiled code, 3.6 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, minqa 53 KB.

Depends (0)

none

Imports (5)

statsminqaMatrixRcppmethods

LinkingTo (2)

Rcpp RcppEigen

Suggests (2)

MASSnlme

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 (1)

Andreas Groll

Releases (36)

Pick two releases to compare their code metrics.

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R 4.6.0 released · 2026-04-24
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R 4.5.0 released · 2025-04-11
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R 4.4.0 released · 2024-04-24
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R 4.3.0 released · 2023-04-21
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R 4.2.0 released · 2022-04-22
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R 4.1.0 released · 2021-05-18
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R 4.0.0 released · 2020-04-24
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R 3.6.0 released · 2019-04-26
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R 3.5.0 released · 2018-04-23
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R 3.4.0 released · 2017-04-21
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R 3.3.0 released · 2016-05-03
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R 3.2.0 released · 2015-04-16
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R 3.1.0 released · 2014-04-10
3.0.3Latest
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2013-11-18 · current release · diff ↗
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R 3.0.0 released · 2013-04-03
2.15.3
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2012-11-28 · diff ↗

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2012-04-26 · diff ↗
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2012-03-29 · diff ↗
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R 2.14.0 released · 2011-10-31
2.14.0
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2011-10-26 · diff ↗ ·
added 2 exports
glmmLasso, glmmLassoControl
1.6.4
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2026-01-27 · diff ↗
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1.0.0
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2011-10-27
R
R 2.13.0 released · 2011-04-13

Package metadata

First published: 2011-10-26
Total releases: 36 / 15 yrs
License: GPL-2 OSI
Bundled data: 4.2 KB / 2 files
Download size: 70 KB

Appears in task views

Mixed, Multilevel, and Hierarchical Models in R

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("glmmLasso")

Format

Groll, A. (2026). glmmLasso: Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation (Version 1.6.4) [Computer software]. https://doi.org/10.32614/CRAN.package.glmmLasso

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 glmmLasso version 1.6.4 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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