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FRCC  

Fast Regularized Canonical Correlation Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FRCC", "1.1.0")



Attach the package and use:
library("FRCC")
Maintained by
Raul Cruz-Cano
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-10-04
Latest Update: 2022-10-29
Description:
Contains the core functions associated with Fast Regularized Canonical Correlation Analysis. Please see the following for details: Raul Cruz-Cano, Mei-Ling Ting Lee, Fast regularized canonical correlation analysis, Computational Statistics & Data Analysis, Volume 70, 2014, Pages 88-100, ISSN 0167-9473 .
How to cite:
Raul Cruz-Cano (2012). FRCC: Fast Regularized Canonical Correlation Analysis. R package version 1.1.0, https://cran.r-project.org/web/packages/FRCC. Accessed 09 Oct. 2026.
Previous versions and publish date:
1.0 (2012-10-04 21:01), (2026-07-09 08:03)
Other packages that cited FRCC R package
View FRCC citation profile
Other R packages that FRCC depends, imports, suggests or enhances
Complete documentation for FRCC
Functions, R codes and Examples using the FRCC R package
Some associated functions: custom.draw.circle . frcc . generate_multivariate_normal_sample . microRNA . off.diagonal.lambda . plot_units . plot_variables . rearrange.frcc . 
Some associated R codes: data.R . frcc.R . plotsetc.R .  Full FRCC package functions and examples
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