Package: dccpp 0.1.0

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.

Authors:Jonathan Berrisch [aut, cre]

dccpp_0.1.0.tar.gz
dccpp_0.1.0.zip(r-4.7-x86_64)dccpp_0.1.0.zip(r-4.7-arm64)dccpp_0.1.0.zip(r-4.6-x86_64)dccpp_0.1.0.zip(r-4.6-arm64)dccpp_0.1.0.zip(r-4.5-x86_64)
dccpp_0.1.0.tgz(r-4.6-x86_64)dccpp_0.1.0.tgz(r-4.6-arm64)dccpp_0.1.0.tgz(r-4.5-x86_64)dccpp_0.1.0.tgz(r-4.5-arm64)
dccpp_0.1.0.tar.gz(r-4.7-arm64)dccpp_0.1.0.tar.gz(r-4.7-x86_64)dccpp_0.1.0.tar.gz(r-4.6-arm64)dccpp_0.1.0.tar.gz(r-4.6-x86_64)
dccpp_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dccpp/json (API)

# Install 'dccpp' in R:
install.packages('dccpp', repos = c('https://berrij.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/berrij/dccpp/issues

Pkgdown/docs site:https://dccpp.berrisch.biz

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

statisticsopenblascppopenmp

4.48 score 10 stars 2 packages 1 scripts 334 downloads 2 exports 2 dependencies

Last updated from:10551eb8d5. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK118
linux-devel-x86_64OK100
source / vignettesOK185
linux-release-arm64OK98
linux-release-x86_64OK105
macos-release-arm64OK104
macos-release-x86_64OK273
macos-oldrel-arm64OK108
macos-oldrel-x86_64OK387
windows-devel-arm64OK319
windows-devel-x86_64OK132
windows-release-arm64OK341
windows-release-x86_64OK99
windows-oldrel-x86_64OK88
wasm-releaseOK103

Exports:dcordcov

Dependencies:RcppRcppArmadillo