Package: dcov 0.1.1

Hang Weiqiang

dcov: A Fast Implementation of Distance Covariance

Efficient methods for computing distance covariance and relevant statistics. See Székely et al.(2007) <doi:10.1214/009053607000000505>; Székely and Rizzo (2013) <doi:10.1016/j.jmva.2013.02.012>; Székely and Rizzo (2014) <doi:10.1214/14-AOS1255>; Huo and Székely (2016) <doi:10.1080/00401706.2015.1054435>.

Authors:Hang Weiqiang <[email protected]>

dcov_0.1.1.tar.gz
dcov_0.1.1.tar.gz(r-4.5-noble)dcov_0.1.1.tar.gz(r-4.4-noble)
dcov_0.1.1.tgz(r-4.4-emscripten)dcov_0.1.1.tgz(r-4.3-emscripten)
dcov.pdf |dcov.html
dcov/json (API)

# Install 'dcov' in R:
install.packages('dcov', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

2.18 score 5 packages 2 scripts 265 downloads 14 exports 2 dependencies

Last updated 4 years agofrom:dc25d091ec. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 27 2024
R-4.5-linux-x86_64OKNov 27 2024

Exports:centeringcentering_from_datadcordcor.testdcor.ttestdcor2ddcovdcov2dmdcormdcovpcovpdcorpdcor.testpdcov

Dependencies:RcppRcppArmadillo