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GrFA  

Group Factor Analysis
View on CRAN: Click here


Download and install GrFA package within the R console
Install from CRAN:
install.packages("GrFA")

Install from Github:
library("remotes")
install_github("cran/GrFA")

Install by package version:
library("remotes")
install_version("GrFA", "0.2")



Attach the package and use:
library("GrFA")
Maintained by
Jiaqi Hu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-22
Latest Update: 2024-02-01
Description:
Several group factor analysis algorithms are implemented, including Canonical Correlation-based Estimation by Choi et al. (2021) , Generalised Canonical Correlation Estimation by Lin and Shin (2022) , Circularly Projected Estimation by Chen (2022) , and the approach we recently proposed, named Aggregated Projection Method.
How to cite:
Jiaqi Hu (2023). GrFA: Group Factor Analysis. R package version 0.2, https://cran.r-project.org/web/packages/GrFA. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2023-11-22 11:20), 0.1.1 (2024-02-01 07:30), 0.2 (2024-08-24 12:00)
Other packages that cited GrFA R package
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Other R packages that GrFA depends, imports, suggests or enhances
Complete documentation for GrFA
Functions, R codes and Examples using the GrFA R package
Full GrFA package functions and examples
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