# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "mirtjml" in publications use:' type: software license: GPL-3.0-only title: 'mirtjml: Joint Maximum Likelihood Estimation for High-Dimensional Item Factor Analysis' version: 1.4.0 doi: 10.32614/CRAN.package.mirtjml abstract: '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, .' authors: - family-names: Zhang given-names: Siliang email: zhangsiliang123@gmail.com - family-names: Chen given-names: Yunxiao - family-names: Li given-names: Xiaoou repository: https://CRAN.R-project.org/package=mirtjml repository-code: https://github.com/slzhang-fd/mirtjml url: https://github.com/slzhang-fd/mirtjml date-released: '2020-06-02' contact: - family-names: Zhang given-names: Siliang email: zhangsiliang123@gmail.com