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-4.5)dccpp_0.1.0.zip(r-4.4)dccpp_0.1.0.zip(r-4.3)
dccpp_0.1.0.tgz(r-4.4-x86_64)dccpp_0.1.0.tgz(r-4.4-arm64)dccpp_0.1.0.tgz(r-4.3-x86_64)dccpp_0.1.0.tgz(r-4.3-arm64)
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://berrij.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

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

On CRAN:

statistics

3.54 score 7 stars 1 scripts 188 downloads 2 exports 2 dependencies

Last updated 1 years agofrom:10551eb8d5. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-win-x86_64OKNov 04 2024
R-4.5-linux-x86_64OKNov 04 2024
R-4.4-win-x86_64OKNov 04 2024
R-4.4-mac-x86_64OKNov 04 2024
R-4.4-mac-aarch64OKNov 04 2024
R-4.3-win-x86_64OKNov 04 2024
R-4.3-mac-x86_64OKNov 04 2024
R-4.3-mac-aarch64OKNov 04 2024

Exports:dcordcov

Dependencies:RcppRcppArmadillo