Other packages > Find by keyword >

seedCCA  

Seeded Canonical Correlation Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("seedCCA", "3.1")



Attach the package and use:
library("seedCCA")
Maintained by
Jae Keun Yoo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-30
Latest Update: 2022-06-09
Description:
Functions for dimension reduction through the seeded canonical correlation analysis are provided. A classical canonical correlation analysis (CCA) is one of useful statistical methods in multivariate data analysis, but it is limited in use due to the matrix inversion for large p small n data. To overcome this, a seeded CCA has been proposed in Im, Gang and Yoo (2015) \doi{10.1002/cem.2691}. The seeded CCA is a two-step procedure. The sets of variables are initially reduced by successively projecting cov(X,Y) or cov(Y,X) onto cov(X) and cov(Y), respectively, without loss of information on canonical correlation analysis, following Cook, Li and Chiaromonte (2007) \doi{10.1093/biomet/asm038} and Lee and Yoo (2014) \doi{10.1111/anzs.12057}. Then, the canonical correlation is finalized with the initially-reduced two sets of variables.
How to cite:
Jae Keun Yoo (2017). seedCCA: Seeded Canonical Correlation Analysis. R package version 3.1, https://cran.r-project.org/web/packages/seedCCA. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0 (2017-08-30 17:19), 3.0 (2020-03-29 08:10)
Other packages that cited seedCCA R package
View seedCCA citation profile
Other R packages that seedCCA depends, imports, suggests or enhances
Complete documentation for seedCCA
Functions, R codes and Examples using the seedCCA R package
Some associated functions: Pm . coef.seedCCA . cookie . covplot . finalCCA . fitted.seedCCA . iniCCA . nutrimouse . plot.seedCCA . print.seedCCA . seedCCA . seeding.auto.stop . seeding . seedols . seedpls . selectu . 
Some associated R codes: seedCCA.R .  Full seedCCA package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
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  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

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