R Observatory: Metrics for glmmrOptim version 0.5.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

glmmrOptim

0.5.1

Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models

0packages depend

2.5Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Sam WatsonFirst published 2023-01-2012 releasesCRAN page ↗GitHub ↗

Optimal design analysis algorithms for any study design that can be represented or modelled as a generalised linear mixed model including cluster randomised trials, cohort studies, spatial and temporal epidemiological studies, and split-plot designs. See https://github.com/samuel-watson/glmmrBase/blob/master/README.md for a detailed manual on model specification. A detailed discussion of the methods in this package can be found in Watson, Hemming, and Girling (2023) doi:10.1177/09622802231202379.

Install

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

install.packages("glmmrOptim", 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("samuel-watson/glmmrOptim")

Development version from samuel-watson/glmmrOptim. 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-glmmroptim

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-glmmrOptim

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-glmmrOptim

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 5.1 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

5

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-08
8 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-03-10
4 OK · 2 NOTE · 0 WARNING · 8 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

2.5K

CRAN downloads in the past year

Rank #12,943 · ~7/day · ~211/mo

Releases R versions

Daily download trend is not available in this view yet.

25630 days

79490 days

2.5K1 year

Compare downloads with other packages →

Also on414 r2u24 autocran

Repository

GitHub ↗ samuel-watson/glmmroptim

1Stars

0Forks

1Open issues

0Open PRs

8Releases

69Commits

3Contributors

License GPL-3.0 · 69 commits · Last activity 2026-06-06

Stars over time

2023-10-08 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

Checks run against github.com/samuel-watson/glmmroptim on 2026-08-23.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (3)

R >= 3.4.0MatrixglmmrBase

Imports (3)

methodsRcpp digest

LinkingTo (7)

Rcpp RcppEigen RcppProgress glmmrBase (>= 1.0.0)SparseChol BH rminqa

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)

Maintainer (1)

Sam Watson

Author, Maintainer

Authors (2)

Sam Watson

Author, Maintainer

Yi Pan

Author

Package Timeline

12 releases. Pick two to compare their code metrics. R releases are shown for context.

0.5.1Latest
2026-06-07 · current release · diff ↗
unarchivedReturned to CRAN
2026-06-07
R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2026-04-15
issues were not corrected in time
0.3.7
2026-03-31 · diff ↗
R
R 4.5.0 released · 2025-04-11
0.3.6
2024-12-17 · diff ↗
0.3.5
2024-06-02 · diff ↗
R
R 4.4.0 released · 2024-04-24
0.3.4
2024-03-12 · diff ↗
unarchivedReturned to CRAN
2024-03-12
archivedRemoved from CRAN
2023-12-06
issues were not corrected in time
0.3.3
2023-11-22 · diff ↗
0.3.2
2023-09-11 · diff ↗
0.3.1
2023-08-18 · diff ↗
0.2.5
2023-07-04 · diff ↗

Show 5 earlier events

R
R 4.3.0 released · 2023-04-21
0.2.4
2023-04-20 · diff ↗
0.2.3
2023-02-24 · diff ↗
0.2.2
2023-01-20
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-01-20
Total releases: 12 / 3 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.4.0
Download size: 35 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Mixed, Multilevel, and Hierarchical Models in R

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("glmmrOptim")

Format

Watson, S., & Pan, Y. (2026). glmmrOptim: Approximate Optimal Experimental Designs Using Generalised Linear Mixed Models (Version 0.5.1) [Computer software]. https://doi.org/10.32614/CRAN.package.glmmrOptim

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 glmmrOptim version 0.5.1 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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