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 05 Mar. 2026.
Previous versions and publish date:
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

neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
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  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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