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GrFA: Group Factor Analysis

Implements statistical methods for group factor analysis, focusing on estimating the number of global and local factors and extracting them. Several algorithms are implemented, including Canonical Correlation-based Estimation by Choi et al. (2021) <doi:10.1016/j.jeconom.2021.09.008>, Generalised Canonical Correlation Estimation by Lin and Shin (2023) <doi:10.2139/ssrn.4295429>, Circularly Projected Estimation by Chen (2022) <doi:10.1080/07350015.2022.2051520>, and the Aggregated Projection Method by Hu et al. (2025) <doi:10.1080/01621459.2025.2491154>.

Version:0.2.2
Depends:R (≥ 3.5.0)
Imports:mvtnorm
Published:2025-12-07
DOI:10.32614/CRAN.package.GrFA
Author:Jiaqi Hu [cre, aut], Ting Li [aut], Xueqin Wang [aut]
Maintainer:Jiaqi Hu <hujiaqi at mail.ustc.edu.cn>
License:GPL (≥ 3)
NeedsCompilation:no
Materials:NEWS
CRAN checks:GrFA results

Documentation:

Reference manual:GrFA.html ,GrFA.pdf

Downloads:

Package source: GrFA_0.2.2.tar.gz
Windows binaries: r-devel:GrFA_0.2.2.zip, r-release:GrFA_0.2.2.zip, r-oldrel:GrFA_0.2.2.zip
macOS binaries: r-release (arm64):GrFA_0.2.2.tgz, r-oldrel (arm64):GrFA_0.2.2.tgz, r-release (x86_64):GrFA_0.2.2.tgz, r-oldrel (x86_64):GrFA_0.2.2.tgz
Old sources: GrFA archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=GrFAto link to this page.


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