Package: mirtjml 1.4.0

mirtjml: Joint Maximum Likelihood Estimation for High-Dimensional Item Factor Analysis

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. <doi:10.1007/s11336-018-9646-5>; 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, <doi:10.1080/01621459.2019.1635485>.

Authors:Siliang Zhang [aut, cre], Yunxiao Chen [aut], Xiaoou Li [aut]

mirtjml_1.4.0.tar.gz
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mirtjml.pdf |mirtjml.html
mirtjml/json (API)

# Install 'mirtjml' in R:
install.packages('mirtjml', repos = c('https://slzhang-fd.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/slzhang-fd/mirtjml/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • data_sim - Simulated dataset for item factor analysis on the multidimensional two parameter logistic model.

On CRAN:

ifaitem-factor-analysislarge-scale-assessmentparallel-computingpsychometrics

4.19 score 8 stars 1 packages 13 scripts 137 downloads 4 exports 3 dependencies

Last updated 4 years agofrom:9265a2825a. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-win-x86_64NOTEOct 31 2024
R-4.5-linux-x86_64NOTEOct 31 2024
R-4.4-win-x86_64NOTEOct 31 2024
R-4.4-mac-x86_64NOTEOct 31 2024
R-4.4-mac-aarch64NOTEOct 31 2024
R-4.3-win-x86_64NOTEOct 31 2024
R-4.3-mac-x86_64NOTEOct 31 2024
R-4.3-mac-aarch64NOTEOct 31 2024

Exports:getMIRTthreadsmirtjml_confmirtjml_exprsetMIRTthreads

Dependencies:GPArotationRcppRcppArmadillo