Package: dccpp 0.1.0

Jonathan Berrisch

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.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://cran.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:

openblascppopenmp

2.48 score 2 packages 261 downloads 2 exports 2 dependencies

Last updated from:8f84491a81. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK86
linux-devel-x86_64OK135
source / vignettesOK180
linux-release-arm64OK91
linux-release-x86_64OK92
windows-devel-arm64OK211
windows-devel-x86_64OK515
windows-release-arm64OK472
windows-release-x86_64OK85
wasm-releaseOK92

Exports:dcordcov

Dependencies:RcppRcppArmadillo