Package: GrFA 0.2.2

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>.

Authors:Jiaqi Hu [cre, aut], Ting Li [aut], Xueqin Wang [aut]

GrFA_0.2.2.tar.gz
GrFA_0.2.2.zip(r-4.7)GrFA_0.2.2.zip(r-4.6)GrFA_0.2.2.zip(r-4.5)
GrFA_0.2.2.tgz(r-4.6-any)GrFA_0.2.2.tgz(r-4.5-any)
GrFA_0.2.2.tar.gz(r-4.7-any)GrFA_0.2.2.tar.gz(r-4.6-any)
GrFA_0.2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
GrFA/json (API)
NEWS

# Install 'GrFA' in R:
install.packages('GrFA', repos = c('https://jiaqihu2021.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 7 scripts 180 downloads 8 exports 1 dependencies

Last updated from:51dc07a419. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK104
source / vignettesOK138
linux-release-x86_64OK98
macos-release-arm64OK144
macos-oldrel-arm64OK167
windows-develOK63
windows-releaseOK57
windows-oldrelOK68
wasm-releaseOK102

Exports:APMCCACPest_numFAGCCgendataTraceRatio

Dependencies:mvtnorm