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Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation

0packages depend
7.4Kdownloads / year
81.3%test coverage
13/13flavors OK

Overview

About

Approximates the likelihood of a generalized linear mixed model using Monte Carlo likelihood approximation. Then maximizes the likelihood approximation to return maximum likelihood estimates, observed Fisher information, and other model information.

Install

Health

CRAN checks
13OK
Slowest check: 5.0 min · r-devel-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
  • OK14 OK2026-03-30
Show 1 earlier changeHide 1 earlier change
  • NOTE13 OK, 1 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.4.5
READMENoVignettesYes · 1 · staticNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
20
Examples that run
100%19 run in a plain check
Exported functions with examples
92%
Documented parameters
83%
Return-value docs
100%
Help pages citing references
50%
Vignettes (1)

Downloads

7.4K
CRAN downloads in the past year
Rank #4,395 · ~20/day · ~615/mo
Daily download trend is not available in this view yet.
68330 days
1.9K90 days
7.4K1 year
Compare downloads with other packages →
Also on415 r2u7 autocran74 c2d4u

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing glmm adds 6 packages (1 with compiled code, 1.8 MB of source tarballs). Heaviest: mvtnorm 1.0 MB, trust 296 KB, iterators 293 KB.

Depends (6)
R >= 4.0trustmvtnormMatrixparalleldoParallel
Imports (4)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.0 (2015)
Contributor · added in 1.3.0
Contributor · added in 1.2.3
Releases (17)

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
  • 1.4.5Latest
    record
    2024-09-22 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.4.4
    record
    2022-10-09 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.4.3
    record
    2022-04-07 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • unarchivedReturned to CRAN
    2020-06-21
  • 1.4.2
    record
    2020-06-21 · diff ↗
  • archivedRemoved from CRAN
    2020-06-15
    check problems were not corrected in time ASAN errors (even after re-submission)
  • unarchivedReturned to CRAN
    2020-05-31
  • 1.4
    record
    2020-05-31 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • archivedRemoved from CRAN
    2020-04-07
    check problems were not corrected in time Errors in '\donttest' parts of examples
Show 18 earlier eventsHide 18 earlier events

Package metadata

First published
2015-02-11
Total releases
17 / 11 yrs
License
GPL-2 OSI
Minimum R
≥ 4.0
Bundled data
5.7 KB / 7 files
Download size
570 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("glmm")
Knudson, C., Benson, S., & Geyer, C. J. (2024). glmm: Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation (Version 1.4.5) [Computer software]. https://doi.org/10.32614/CRAN.package.glmm

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 glmm version 1.4.5 [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.

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