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)dccpp_0.1.0.zip(r-4.6)dccpp_0.1.0.zip(r-4.5)
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:

statistics openblas cpp openmp

4.13 score 9 stars 1 packages 1 scripts 392 downloads 2 exports 2 dependencies

Last updated from:10551eb8d5. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	127
linux-devel-x86_64	OK	102
source / vignettes	OK	166
linux-release-arm64	OK	131
linux-release-x86_64	OK	121
macos-release-arm64	OK	94
macos-release-x86_64	OK	172
macos-oldrel-arm64	OK	79
macos-oldrel-x86_64	OK	227
windows-devel	OK	101
windows-release	OK	98
windows-oldrel	OK	102
wasm-release	OK	153