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", "0.1.0")



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 0.1.0, https://cran.r-project.org/web/packages/ccar3. Accessed 26 Aug. 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

RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

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