Other packages > Find by keyword >

ccar3  

Canonical Correlation Analysis via Reduced Rank Regression
View on CRAN: Click here


Download and install ccar3 package within the R console
Install from CRAN:
install.packages("ccar3")

Install from Github:
library("remotes")
install_github("cran/ccar3")

Install by package version:
library("remotes")
install_version("ccar3", "0.1.2")



Attach the package and use:
library("ccar3")
Maintained by
Claire Donnat
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-16
Latest Update: 2025-09-16
Description:
Canonical correlation analysis (CCA) via reduced-rank regression with support for regularization and cross-validation. Several methods for estimating CCA in high-dimensional settings are implemented. The first set of methods, cca_rrr() (and variants: cca_group_rrr() and cca_graph_rrr()), assumes that one dataset is high-dimensional and the other is low-dimensional, while the second, ecca() (for Efficient CCA) assumes that both datasets are high-dimensional. For both methods, standard l1 regularization as well as group-lasso regularization are available. cca_graph_rrr further supports total variation regularization when there is a known graph structure among the variables of the high-dimensional dataset. In this case, the loadings of the canonical directions of the high-dimensional dataset are assumedto be smooth on the graph. For more details see Donnat and Tuzhilina (2024)<doi:10.48550/arXiv.2405.19539> and Wu, Tuzhilina and Donnat (2025) <doi:10.48550/arXiv.2507.11160>.
How to cite:
Claire Donnat (2025). ccar3: Canonical Correlation Analysis via Reduced Rank Regression. R package version 0.1.2, https://cran.r-project.org/web/packages/ccar3. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:25), 0.1.0 (2025-09-16 10:00), 0.1.1 (2026-04-29 09:00)
Other packages that cited ccar3 R package
View ccar3 citation profile
Other R packages that ccar3 depends, imports, suggests or enhances
Complete documentation for ccar3
Functions, R codes and Examples using the ccar3 R package
Full ccar3 package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gemlog  
File Conversion for "Gem Infrasound Logger"
Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
FDRsampsize  
Compute Sample Size that Meets Requirements for Average Power and FDR
Defines a collection of functions to compute average power and sample size for studies that use the ...
Download / Learn more Package Citations See dependency  
magicfor  
Magic Functions to Obtain Results from for Loops
Magic functions to obtain results from for loops. ...
Download / Learn more Package Citations See dependency  
climwin  
Climate Window Analysis
Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a g ...
Download / Learn more Package Citations See dependency  
givitiR  
The GiViTI Calibration Test and Belt
Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano p ...
Download / Learn more Package Citations See dependency  

29,080

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA