ccaPP-package {ccaPP} | R Documentation |
Canonical correlation analysis and maximum correlation via projection pursuit, as well as fast implementations of correlation estimators, with a focus on robust and nonparametric methods.
The DESCRIPTION file:
Package: | ccaPP |
Type: | Package |
Title: | (Robust) Canonical Correlation Analysis via Projection Pursuit |
Version: | 0.3.4 |
Date: | 2024-09-04 |
Depends: | R (>= 3.2.0), parallel, pcaPP (>= 1.8-1), robustbase |
Imports: | Rcpp (>= 0.11.0) |
LinkingTo: | Rcpp (>= 0.11.0), RcppArmadillo (>= 0.4.100.0) |
Suggests: | knitr, mvtnorm |
VignetteBuilder: | knitr |
Description: | Canonical correlation analysis and maximum correlation via projection pursuit, as well as fast implementations of correlation estimators, with a focus on robust and nonparametric methods. |
License: | GPL (>= 2) |
URL: | https://github.com/aalfons/ccaPP |
BugReports: | https://github.com/aalfons/ccaPP/issues |
LazyLoad: | yes |
Authors@R: | c(person("Andreas", "Alfons", email = "alfons@ese.eur.nl", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2513-3788")), person("David", "Simcha", role = "ctb", comment = "O(n log(n)) implementation of Kendall correlation")) |
Author: | Andreas Alfons [aut, cre] (<https://orcid.org/0000-0002-2513-3788>), David Simcha [ctb] (O(n log(n)) implementation of Kendall correlation) |
Maintainer: | Andreas Alfons <alfons@ese.eur.nl> |
Encoding: | UTF-8 |
RoxygenNote: | 7.3.2 |
Index of help topics:
ccaGrid (Robust) CCA via alternating series of grid searches ccaPP-package (Robust) Canonical Correlation Analysis via Projection Pursuit ccaProj (Robust) CCA via projections through the data points corFunctions Fast implementations of (robust) correlation estimators diabetes Diabetes data fastMAD Fast implementation of the median absolute deviation fastMedian Fast implementation of the median maxCorGrid (Robust) maximum correlation via alternating series of grid searches maxCorProj (Robust) maximum correlation via projections through the data points permTest (Robust) permutation test for no association
Andreas Alfons [aut, cre] (<https://orcid.org/0000-0002-2513-3788>), David Simcha [ctb] (O(n log(n)) implementation of Kendall correlation)
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
A. Alfons, C. Croux and P. Filzmoser (2016) Robust maximum association between data sets: The R Package ccaPP. Austrian Journal of Statistics, 45(1), 71–79.
A. Alfons, C. Croux and P. Filzmoser (2016) Robust maximum association estimators. Journal of the American Statistical Association, 112(517), 435–445.