Package: wdm 0.3.0

wdm: Weighted Dependence Measures

Provides efficient implementations of weighted dependence measures and related asymptotic tests for independence. Implemented measures are the Pearson correlation, Spearman's rho, Kendall's tau, Blomqvist's beta, Hoeffding's D, and Chatterjee's xi; see, e.g., Nelsen (2006) <doi:10.1007/0-387-28678-0>, Hollander et al. (2015, ISBN:9780470387375), and Chatterjee (2021) <doi:10.1080/01621459.2020.1758115>.

Authors:Thomas Nagler [aut, cre]

wdm_0.3.0.tar.gz
wdm_0.3.0.zip(r-4.7-x86_64)wdm_0.3.0.zip(r-4.7-arm64)wdm_0.3.0.zip(r-4.6-x86_64)wdm_0.3.0.zip(r-4.6-arm64)wdm_0.3.0.zip(r-4.5-x86_64)
wdm_0.3.0.tgz(r-4.6-x86_64)wdm_0.3.0.tgz(r-4.6-arm64)wdm_0.3.0.tgz(r-4.5-x86_64)wdm_0.3.0.tgz(r-4.5-arm64)
wdm_0.3.0.tar.gz(r-4.7-arm64)wdm_0.3.0.tar.gz(r-4.7-x86_64)wdm_0.3.0.tar.gz(r-4.6-arm64)wdm_0.3.0.tar.gz(r-4.6-x86_64)
wdm_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
wdm/json (API)

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

Bug tracker:https://github.com/tnagler/wdm-r/issues

Pkgdown/docs site:https://tnagler.github.io

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

On CRAN:

Conda:

dependencestatisticscpp

6.05 score 3 stars 20 packages 19 scripts 3.3k downloads 1 mentions 3 exports 1 dependencies

Last updated from:b35064ef61. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK171
linux-devel-x86_64OK151
source / vignettesOK258
linux-release-arm64OK152
linux-release-x86_64OK144
macos-release-arm64OK113
macos-release-x86_64OK241
macos-oldrel-arm64OK129
macos-oldrel-x86_64OK190
windows-devel-arm64OK193
windows-devel-x86_64OK122
windows-release-arm64OK185
windows-release-x86_64OK102
windows-oldrel-x86_64OK95
wasm-releaseOK137

Exports:indep_testrank_wtdwdm

Dependencies:Rcpp