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glmmrBase

1.4.1Package record

Monte Carlo Maximum Likelihood and Analysis of Generalised Linear Mixed Models

3packages depend
6.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Specification, analysis, simulation, and fitting of generalised linear mixed models. Monte Carlo Maximum likelihood model fitting for a range of models, non-linear fixed effect specifications, a wide range of flexible covariance functions including Gaussian Process approximations. Methods described in Watson, Wang, and Giorgi (2026) doi:10.48550/arXiv.2601.16022.

Install

Health

CRAN checks
13OK
Slowest check: 9.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK7 OK2026-05-29
Show 2 earlier changesHide 2 earlier changes
  • ERROR10 OK, 2 NOTE, 2 ERROR2026-04-01
  • NOTE11 OK, 3 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.4.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
46includes a package overview page
Examples that run
100%16 run in a plain check
Exported functions with examples
82%
Documented parameters
100%
Return-value docs
82%
Help pages citing references
2%

Downloads

6.4K
CRAN downloads in the past year
Rank #4,888 · ~18/day · ~534/mo
Daily download trend is not available in this view yet.
66730 days
1.7K90 days
6.4K1 year
Compare downloads with other packages →
Also on567 r2u6 autocran

Repository

5Stars
0Forks
5Open issues
0Open PRs
18Releases
526Commits
3Commit identities
526 commits · Last activity 2026-10-21 · 0% stars, 30d · Default branch at 1.4.2, ahead of CRAN 1.4.1 (checked 2026-10-21)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
15
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-07-20 · 52026-07-07 · 5
PracticesBeta

Checks run against github.com/samuel-watson/glmmrbase on 2026-10-21.

No development-tooling practices detected in the upstream repository.

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

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing glmmrBase adds 5 packages (3 with compiled code, 18 MB of source tarballs). Heaviest: BH 14 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (2)
R >= 3.5.0Matrix
Imports (3)
methodsRcppR6
Suggests (2)
Enhances (0)
none
Reverse dependencies
3direct
0indirect
Depends 1 · Imports 2 · LinkingTo 2
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 0.1.2 (2022)
Listed in earlier versions (1)
no longer listed · 0.1.2 to 0.2.5
Releases (31)

Pick two releases to compare their code metrics.

Show 22 earlier eventsHide 22 earlier events

Package metadata

First published
2022-09-22
Total releases
31 / 4 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
20 KB / 3 files
Download size
241 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("glmmrBase")
Watson, S. (2026). glmmrBase: Monte Carlo Maximum Likelihood and Analysis of Generalised Linear Mixed Models (Version 1.4.1) [Computer software]. https://doi.org/10.32614/CRAN.package.glmmrBase

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for glmmrBase version 1.4.1 [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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