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GrFA (version 0.2.2)

Group Factor Analysis

Description

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) , Generalised Canonical Correlation Estimation by Lin and Shin (2023) , Circularly Projected Estimation by Chen (2022) , and the Aggregated Projection Method by Hu et al. (2025) .

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Version

Install

install.packages('GrFA')

Monthly Downloads

158

Version

0.2.2

License

GPL (>= 3)

Maintainer

Jiaqi Hu

Last Published

December 7th, 2025

Functions in GrFA (0.2.2)

gendata

Generate the grouped data
GCC

Generalised Canonical Correlation
print.GFA

Print Method for GFA Objects
CCA

Canonical Correlation Estimation
est_num

Estimate Factor Numbers
CP

Circularly Projected Estimation
TraceRatio

Trace Ratio
FA

Factor Analysis
print.GFD

Print Method for GFD Objects
APM

Aggregated Projection Method
UShouseprice

Housing price data for 16 states in the U.S.