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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]
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 May. 2025.
Previous versions and publish date:
1.2 (2018-12-21 14:50), 1.3.0 (2019-12-11 15:50)
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
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