Package: wdm 0.2.6

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, and Hoeffding's D; see, e.g., Nelsen (2006) <doi:10.1007/0-387-28678-0> and Hollander et al. (2015, ISBN:9780470387375).

Authors:Thomas Nagler [aut, cre]

wdm_0.2.6.tar.gz
wdm_0.2.6.zip(r-4.5)wdm_0.2.6.zip(r-4.4)wdm_0.2.6.zip(r-4.3)
wdm_0.2.6.tgz(r-4.5-x86_64)wdm_0.2.6.tgz(r-4.5-arm64)wdm_0.2.6.tgz(r-4.4-x86_64)wdm_0.2.6.tgz(r-4.4-arm64)wdm_0.2.6.tgz(r-4.3-x86_64)wdm_0.2.6.tgz(r-4.3-arm64)
wdm_0.2.6.tar.gz(r-4.5-noble)wdm_0.2.6.tar.gz(r-4.4-noble)
wdm_0.2.6.tgz(r-4.4-emscripten)wdm_0.2.6.tgz(r-4.3-emscripten)
wdm.pdf |wdm.html✨
wdm/json (API)
NEWS

# 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

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

On CRAN:

Conda-Forge:

dependencestatisticscpp

5.30 score 3 stars 21 packages 11 scripts 1.9k downloads 1 mentions 3 exports 1 dependencies

Last updated 2 months agofrom:6454a3de4e. Checks:12 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 04 2025
R-4.5-win-x86_64OKMar 04 2025
R-4.5-mac-x86_64OKMar 04 2025
R-4.5-mac-aarch64OKMar 04 2025
R-4.5-linux-x86_64OKMar 04 2025
R-4.4-win-x86_64OKMar 04 2025
R-4.4-mac-x86_64OKMar 04 2025
R-4.4-mac-aarch64OKMar 04 2025
R-4.4-linux-x86_64OKMar 04 2025
R-4.3-win-x86_64OKMar 04 2025
R-4.3-mac-x86_64OKMar 04 2025
R-4.3-mac-aarch64OKMar 04 2025

Exports:indep_testrank_wtdwdm

Dependencies:Rcpp