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_0.2.1.zip, r-oldrel: GrFA_0.2.1.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:

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