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) <arXiv:1810.11332> <doi:10.1016/j.csda.2019.01.016>). The functions are written entirely in C++ to speed up the computation.

Version: 0.0.2
Imports: Rcpp (≥ 1.0.8)
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0)
Published: 2022-03-02
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
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: dccpp results

Documentation:

Reference manual: dccpp.pdf

Downloads:

Package source: dccpp_0.0.2.tar.gz
Windows binaries: r-devel: dccpp_0.0.2.zip, r-release: dccpp_0.0.2.zip, r-oldrel: dccpp_0.0.2.zip
macOS binaries: r-release (arm64): dccpp_0.0.2.tgz, r-release (x86_64): dccpp_0.0.2.tgz, r-oldrel: dccpp_0.0.2.tgz

Linking:

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