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
NeedsCompilation: yes
Packaged: 2024-09-04 18:34:57 UTC; alfons
Repository: CRAN
Date/Publication: 2024-09-04 22:20:10 UTC
Built: R 4.5.0; x86_64-apple-darwin20; 2025-04-01 18:39:43 UTC; unix
Archs: ccaPP.so.dSYM
