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dccpp: Fast Computation of Distance Correlations

Fast computation of the distance covariance 'dcov' and distance correlation 'dcor'. The computation cost is only O(n log(n)) for the distance correlation (see Chaudhuri, Hu (2019) <doi:10.48550/arXiv.1810.11332> <doi:10.1016/j.csda.2019.01.016>). The functions are written entirely in C++ to speed up the computation.

Version: 0.1.0
Imports: Rcpp (≥ 1.0.8)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0)
Published: 2023-09-27
DOI: 10.32614/CRAN.package.dccpp
Author: Jonathan Berrisch ORCID iD [aut, cre]
Maintainer: Jonathan Berrisch <Jonathan at Berrisch.biz>
BugReports: https://github.com/BerriJ/dccpp/issues
License: GPL (≥ 3)
URL: https://dccpp.berrisch.biz/, https://github.com/BerriJ/dccpp
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: dccpp results

Documentation:

Reference manual: dccpp.pdf

Downloads:

Package source: dccpp_0.1.0.tar.gz
Windows binaries: r-devel: dccpp_0.1.0.zip, r-release: dccpp_0.1.0.zip, r-oldrel: dccpp_0.1.0.zip
macOS binaries: r-release (arm64): dccpp_0.1.0.tgz, r-oldrel (arm64): dccpp_0.1.0.tgz, r-release (x86_64): dccpp_0.1.0.tgz, r-oldrel (x86_64): dccpp_0.1.0.tgz
Old sources: dccpp archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dccpp to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.