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.tar.gz(r-4.5-noble)dccpp_0.1.0.tar.gz(r-4.4-noble)
dccpp_0.1.0.tgz(r-4.4-emscripten)dccpp_0.1.0.tgz(r-4.3-emscripten)
dccpp.pdf |dccpp.html
dccpp/json (API)
NEWS

# 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 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

1.70 score 1 scripts 222 downloads 2 exports 2 dependencies

Last updated 1 years agofrom:8f84491a81. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKFeb 18 2025
R-4.5-linux-x86_64OKFeb 18 2025

Exports:dcordcov

Dependencies:RcppRcppArmadillo