The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

GrFA: Group Factor Analysis

Several group factor analysis 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 Aggregated projection method.

Version: 0.2
Depends: R (≥ 3.5.0)
Imports: mvtnorm
Published: 2024-08-24
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
CRAN checks: GrFA results

Documentation:

Reference manual: GrFA.pdf

Downloads:

Package source: GrFA_0.2.tar.gz
Windows binaries: r-devel: GrFA_0.2.zip, r-release: GrFA_0.2.zip, r-oldrel: GrFA_0.2.zip
macOS binaries: r-release (arm64): GrFA_0.2.tgz, r-oldrel (arm64): GrFA_0.2.tgz, r-release (x86_64): GrFA_0.2.tgz, r-oldrel (x86_64): GrFA_0.2.tgz
Old sources: GrFA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GrFA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.