Other packages > Find by keyword >

pleLMA  

Pseudo-Likelihood Estimation of Log-Multiplicative Association Models
View on CRAN: Click here


Download and install pleLMA package within the R console
Install from CRAN:
install.packages("pleLMA")

Install from Github:
library("remotes")
install_github("cran/pleLMA")

Install by package version:
library("remotes")
install_version("pleLMA", "0.2.2")



Attach the package and use:
library("pleLMA")
Maintained by
Carolyn J. Anderson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-27
Latest Update: 2025-07-24
Description:
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, ), 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.
How to cite:
Carolyn J. Anderson (2021). pleLMA: Pseudo-Likelihood Estimation of Log-Multiplicative Association Models. R package version 0.2.2, https://cran.r-project.org/web/packages/pleLMA. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:41), 0.1.0 (2021-04-27 10:10), 0.1.1 (2021-05-21 09:00), 0.2.1 (2021-10-06 01:20)
Other packages that cited pleLMA R package
View pleLMA citation profile
Other R packages that pleLMA depends, imports, suggests or enhances
Complete documentation for pleLMA
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA