Skip to content

MGLM

0.2.1

Multivariate Response Generalized Linear Models

1packages depend
11.6Kdownloads / year
test coverage
0/13checks pass

Overview

About
Maintained by Juhyun KimFirst published 2013-09-2514 releasesCRAN page ↗

Provides functions that (1) fit multivariate discrete distributions, (2) generate random numbers from multivariate discrete distributions, and (3) run regression and penalized regression on the multivariate categorical response data. Implemented models include: multinomial logit model, Dirichlet multinomial model, generalized Dirichlet multinomial model, and negative multinomial model. Making the best of the minorization-maximization (MM) algorithm and Newton-Raphson method, we derive and implement stable and efficient algorithms to find the maximum likelihood estimates. On a multi-core machine, multi-threading is supported.

Install

Health

CRAN checks
13NOTE
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
  • NOTE r-devel-windows-x86_64
  • NOTE r-oldrel-macos-arm64
  • NOTE r-oldrel-macos-x86_64
  • NOTE r-oldrel-windows-x86_64
  • NOTE r-patched-linux-x86_64
  • NOTE r-release-linux-x86_64
  • NOTE r-release-macos-arm64
  • NOTE r-release-macos-x86_64
  • NOTE r-release-windows-x86_64
Slowest check: 2.7 min · r-release-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
76%
Return-value docs
82%
References docs
0%

Downloads

11.6K
CRAN downloads in the past year
Rank #4,904 · ~32/day · ~966/mo
Daily download trend is not available in this view yet.
40730 days
1.6K90 days
11.6K1 year
Compare downloads with other packages →
Also on105 r2u14 autocran1.5K conda_forge

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.0.0
Imports (4)
methodsstatsparallelstats4
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

Datasets

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (2)
no longer listed · 3.0.2 to 0.2.1
no longer listed · 3.0.2 to 0.2.1
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 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
  • 0.2.1Latest
    2022-04-14 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.2.0
    2018-10-19 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.0
    2018-01-21 · diff ↗
  • 0.0.9
    2018-01-14 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 0.0.8
    2017-03-27 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
Show 13 earlier events
  • 0.0.7
    2016-02-17 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • archivedRemoved from CRAN
    2015-03-03
    misuse of '\donttest' was not corrected
  • 0.0.6
    2014-04-27 · diff ↗
  • 0.0.5
    2014-04-25 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 0.0.4
    2014-02-23 · diff ↗
  • 3.0.3
    2014-02-03 · diff ↗
  • 0.0.3
    2014-01-05 · diff ↗
  • 0.0.2
    2013-11-07 · diff ↗
  • 0.0.1
    2013-09-25 · diff ↗
  • 3.0.2
    2013-07-06
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2013-09-25
Total releases
14 / 13 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.0.0
Bundled data
3.9 KB / 1 file
Download size
76 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MGLM")

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 MGLM version 0.2.1 [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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy