Package: FRCC 1.1.0

Raul Cruz-Cano

FRCC: Fast Regularized Canonical Correlation Analysis

Contains the core functions associated with Fast Regularized Canonical Correlation Analysis. Please see the following for details: Raul Cruz-Cano, Mei-Ling Ting Lee, Fast regularized canonical correlation analysis, Computational Statistics & Data Analysis, Volume 70, 2014, Pages 88-100, ISSN 0167-9473 <doi:10.1016/j.csda.2013.09.020>.

Authors:Raul Cruz-Cano [aut, cre]

FRCC_1.1.0.tar.gz
FRCC_1.1.0.zip(r-4.7-any)FRCC_1.1.0.zip(r-4.6-any)
FRCC_1.1.0.tar.gz(r-4.7-any)FRCC_1.1.0.tar.gz(r-4.6-any)
FRCC_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
FRCC/json (API)

# Install 'FRCC' in R:
install.packages('FRCC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.04 score 11 scripts 312 downloads 1 mentions 7 exports 4 dependencies

Last updated from:0a11aba330. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK90
source / vignettesOK130
linux-releaseOK95
windows-develOK53
windows-releaseOK55
wasm-releaseOK86

Exports:custom.draw.circlefrccgenerate_multivariate_normal_sampleoff.diagonal.lambdaplot_unitsplot_variablesrearrange.frcc

Dependencies:calibrateCCPcorpcorMASS