R Observatory: Metrics for GLMMRR version 0.6.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

GLMMRR

0.6.0Package record

Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data

0packages depend

3.7Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Jean-Paul FoxCRAN page ↗

Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data. Includes Cauchit, Compl. Log-Log, Logistic, and Probit link functions for Bernoulli Distributed RR data. RR Designs: Warner, Forced Response, Unrelated Question, Kuk, Crosswise, and Triangular. Reference: Fox, J-P, Veen, D. and Klotzke, K. (2018). Generalized Linear Mixed Models for Randomized Responses. Methodology. doi:10.1027/1614-2241/a000153.

Install

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

install.packages("GLMMRR", 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-glmmrr

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-GLMMRR

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-GLMMRR

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: 2.2 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-21
ERROR12 OK, 1 ERROR2026-07-10
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.6.0

READMEYes · 27 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 26 (1 internal)
Examples that run: 100%5 run in a plain check
Exported functions with examples: 21%
Documented parameters: 100%
Return-value docs: 93%
Help pages citing references: 12%

How these are measured

Downloads

3.7K

CRAN downloads in the past year

Rank #11,386 · ~10/day · ~309/mo

Releases R versions

Daily download trend is not available in this view yet.

38430 days

94290 days

3.7K1 year

Compare downloads with other packages →

Also on108 r2u3 autocran109 c2d4u

How downloads are counted

Dependencies

Declared dependencies

2 external dependencies (excludes base and recommended)

Installing GLMMRR adds 9 packages (6 with compiled code, 11 MB of source tarballs). Heaviest: lme4 4.1 MB, nloptr 2.1 MB, Rcpp 1.8 MB.

Depends (3)

R >= 3.5.0lme4methods

Imports (5)

latticestatsutilsgrDevicesRColorBrewer

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 (3)

Jean-Paul Fox

Author, Maintainer since 0.6.0 (2025)

Konrad Klotzke

Author

Duco Veen

Author

Previously maintained by Konrad Klotzke (0.1.1 to 0.5.0).

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2025-09-18
0.6.0Latest
record
2025-09-18 · current release · diff ↗
archivedRemoved from CRAN
2025-06-13
issues were not corrected despite reminders
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
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.5.0
record
2021-01-13 · diff ↗ ·
removed 1 export
hello
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
0.2.0
record
2016-08-09 · diff ↗ ·
added 6 exports
RRbinomial, getCellMeans, getCellSizes, getMLPrevalence, getUniqueGroups, intDotplot
R
R 3.3.0 released · 2016-05-03

Show 3 earlier eventsHide 3 earlier events

0.1.2
record
2016-03-10 · diff ↗
0.1.1
record
2016-03-09
R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2016-03-09
Total releases: 5 / 10 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 179 KB / 3 files
Download size: 207 KB

Appears in task views

Mixed, Multilevel, and Hierarchical Models in R Psychometric Models and Methods

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("GLMMRR")

Format

Fox, J., Klotzke, K., & Veen, D. (2025). GLMMRR: Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data (Version 0.6.0) [Computer software]. https://doi.org/10.32614/CRAN.package.GLMMRR

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 GLMMRR version 0.6.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →