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.">

dccpp: Fast Computation of Distance Correlations (original) (raw)

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
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.html , <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:

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