R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
ccar3
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]
[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 05 Jun. 2026.
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
ibb
Call wrappers for Istanbul Metropolitan
Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Berk Orbay (view profile)
crossurr
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Denis Agniel (view profile)
msm
Functions for fitting continuous-time Markov and hidden
Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Christopher Jackson (view profile)
envirem
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Pascal Title (view profile)
quickcode
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
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
27,268
R Packages
233,548
Dependencies
72,590
Author Associations
27,205
Publication Badges
