mirtsvd: SVD-Based Estimation for Exploratory Item Factor Analysis

Provides singular value decomposition based estimation algorithms for exploratory item factor analysis (IFA) based on multidimensional item response theory models. For more information, please refer to: Zhang, H., Chen, Y., & Li, X. (2020). A note on exploratory item factor analysis by singular value decomposition. Psychometrika, 1-15, <doi:10.1007/s11336-020-09704-7>.

Version:	1.0
Depends:	R (≥ 3.1)
Imports:	GPArotation, mirtjml, graphics, stats
Published:	2020-09-10
DOI:	10.32614/CRAN.package.mirtsvd
Author:	Haoran Zhang [aut, cre], Yunxiao Chen [aut], Xiaoou Li [aut]
Maintainer:	Haoran Zhang <hrzhang16 at gmail.com>
License:	GPL-3
NeedsCompilation:	no
Materials:	README
CRAN checks:	mirtsvd results

Documentation:

Reference manual:

mirtsvd.pdf

Downloads:

Package source:	mirtsvd_1.0.tar.gz
Windows binaries:	r-devel: mirtsvd_1.0.zip, r-release: mirtsvd_1.0.zip, r-oldrel: mirtsvd_1.0.zip
macOS binaries:	r-release (arm64): mirtsvd_1.0.tgz, r-oldrel (arm64): mirtsvd_1.0.tgz, r-release (x86_64): mirtsvd_1.0.tgz, r-oldrel (x86_64): mirtsvd_1.0.tgz

Linking:

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