Other packages > Find by keyword >

mirtjml  

Joint Maximum Likelihood Estimation for High-Dimensional Item Factor Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mirtjml", "1.4.0")



Attach the package and use:
library("mirtjml")
Maintained by
Siliang Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-21
Latest Update: 2020-06-08
Description:
Provides constrained joint maximum likelihood estimation algorithms for item factor analysis (IFA) based on multidimensional item response theory models. So far, we provide functions for exploratory and confirmatory IFA based on the multidimensional two parameter logistic (M2PL) model for binary response data. Comparing with traditional estimation methods for IFA, the methods implemented in this package scale better to data with large numbers of respondents, items, and latent factors. The computation is facilitated by multiprocessing 'OpenMP' API. For more information, please refer to: 1. Chen, Y., Li, X., & Zhang, S. (2018). Joint Maximum Likelihood Estimation for High-Dimensional Exploratory Item Factor Analysis. Psychometrika, 1-23. ; 2. Chen, Y., Li, X., & Zhang, S. (2019). Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications. Journal of the American Statistical Association, .
How to cite:
Siliang Zhang (2018). mirtjml: Joint Maximum Likelihood Estimation for High-Dimensional Item Factor Analysis. R package version 1.4.0, https://cran.r-project.org/web/packages/mirtjml. Accessed 13 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:30), 1.2 (2018-12-21 14:50), 1.3.0 (2019-12-11 15:50), 1.4.0 (2020-06-08 23:40)
Other packages that cited mirtjml R package
View mirtjml citation profile
Other R packages that mirtjml depends, imports, suggests or enhances
Complete documentation for mirtjml
Functions, R codes and Examples using the mirtjml R package
Some associated functions: data_sim . getMIRTthreads . mirtjml_conf . mirtjml_expr . setMIRTthreads . 
Some associated R codes: RcppExports.R . data.R . mirtjml_conf.R . mirtjml_expr.R . utilities.R . zzz.R .  Full mirtjml package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

dafs  
Data Analysis for Forensic Scientists
Data and miscellanea to support the book "Introduction to Data analysis with R for Forensic Scientis ...
Download / Learn more Package Citations See dependency  
weibullness  
Goodness-of-Fit Test for Weibull Distribution (Weibullness)
Conducts a goodness-of-fit test for the Weibull distribution (referred to as the weibullness test) a ...
Download / Learn more Package Citations See dependency  
robust2sls  
Outlier Robust Two-Stage Least Squares Inference and Testing
An implementation of easy tools for outlier robust inference in two-stage least squares (2SLS) mode ...
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  
covid19us  
Cases of COVID-19 in the United States
A wrapper around the 'COVID Tracking Project API' providing data o ...
Download / Learn more Package Citations See dependency  

29,000

R Packages

247,686

Dependencies

76,729

Author Associations

29,001

Publication Badges

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