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 [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.
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