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pleLMA

0.2.2Package record

Pseudo-Likelihood Estimation of Log-Multiplicative Association Models

0packages depend
2.6Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

Log-multiplicative association models (LMA) are models for cross-classifications of categorical variables where interactions are represented by products of category scale values and an association parameter. Maximum likelihood estimation (MLE) fails for moderate to large numbers of categorical variables. The 'pleLMA' package overcomes this limitation of MLE by using pseudo-likelihood estimation to fit the models to small or large cross-classifications dichotomous or multi-category variables. Originally proposed by Besag (1974, doi:10.1111/j.2517-6161.1974.tb00999.x), pseudo-likelihood estimation takes large complex models and breaks it down into smaller ones. Rather than maximizing the likelihood of the joint distribution of all the variables, a pseudo-likelihood function, which is the product likelihoods from conditional distributions, is maximized. LMA models can be derived from a number of different frameworks including (but not limited to) graphical models and uni-dimensional and multi-dimensional item response theory models. More details about the models and estimation can be found in the vignette.

Changes in 0.2.2

Minor improvements and bug fixes

  • All occurrences of "logLik" changed to "logLik[1]"" to be compatible with newer version of the mlogit package.
  • Last example in vignette not run.
  • Some corrections to spelling in comments and vignette.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-08
  • NOTE12 OK, 1 NOTE2026-06-07
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.2
READMENoVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.2.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
26
Examples that run
81%13 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
58%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.6K
CRAN downloads in the past year
Rank #20,965 · ~7/day · ~215/mo
Daily download trend is not available in this view yet.
26430 days
62190 days
2.6K1 year
Compare downloads with other packages →
Also on68 r2u8 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing pleLMA adds 13 packages (6 with compiled code, 7.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, sandwich 1.4 MB, micsr 1.2 MB.

Depends (1)
R >= 2.10
Imports (4)
mlogitdfidxstatsgraphics
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2021)
Listed in earlier versions (1)
Anderson
no longer listed · 0.2.2
Releases (4)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.2Latest
    record
    2025-07-24 · current release · diff ↗
  • 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
  • 0.2.1
    record
    2021-10-06 · diff ↗ ·
    removed 2 exports
    ScaleItem, summaryModel
  • unarchivedReturned to CRAN
    2021-05-21
  • 0.1.1
    record
    2021-05-21 · diff ↗ ·
    added 2 exports
    ScaleItem, summaryModel
  • R
    R 4.1.0 released · 2021-05-18
  • archivedRemoved from CRAN
    2021-05-12
    check problems were not corrected in time
  • 0.1.0
    record
    2021-04-27
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-04-27
Total releases
4 / 5 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 2.10
Bundled data
13 KB / 2 files
Download size
131 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pleLMA")
Anderson, C. J. (2025). pleLMA: Pseudo-Likelihood Estimation of Log-Multiplicative Association Models (Version 0.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.pleLMA

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 pleLMA version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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