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✨
card.svg |card.png
dccpp/json (API)
NEWS

# 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

3.65 score 9 stars 1 scripts 214 downloads 2 exports 2 dependencies

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

Target	Result	Time
linux-devel-arm64	OK	119
linux-devel-x86_64	OK	124
source / vignettes	OK	173
linux-release-arm64	OK	109
linux-release-x86_64	OK	114
macos-release-arm64	OK	87
macos-release-x86_64	OK	255
macos-oldrel-arm64	OK	98
macos-oldrel-x86_64	OK	210
windows-devel	OK	179
windows-release	OK	98
windows-oldrel	OK	99
wasm-release	OK	107