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 16 Jul. 2026.
Previous versions and publish date:
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
schoolmath
Contains functions and datasets for math taught in school. A main focus is set to prime-calculation. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jörg große Schlarmann (view profile)
stevedata
This is a collection of various kinds of data with broad uses for teaching. My students, and academ ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Steve Miller (view profile)
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
tibble
Provides a 'tbl_df' class (the 'tibble') with stricter checking and better formatting than the tradi ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Kirill Müller (view profile)
tarchetypes
Function-oriented Make-like declarative pipelines for Statistics and data science are supported in t ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: William Michael Landau (view profile)
Rnmr1D
Perform the complete processing of a set of proton nuclear magnetic resonance spectra from the free ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Daniel Jacob (view profile)
27,806
R Packages
239,283
Dependencies
73,837
Author Associations
27,807
Publication Badges
