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-4.7)wdm_0.2.6.zip(r-4.6)wdm_0.2.6.zip(r-4.5)
wdm_0.2.6.tgz(r-4.6-x86_64)wdm_0.2.6.tgz(r-4.6-arm64)wdm_0.2.6.tgz(r-4.5-x86_64)wdm_0.2.6.tgz(r-4.5-arm64)
wdm_0.2.6.tar.gz(r-4.7-arm64)wdm_0.2.6.tar.gz(r-4.7-x86_64)wdm_0.2.6.tar.gz(r-4.6-arm64)wdm_0.2.6.tar.gz(r-4.6-x86_64)
wdm_0.2.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

dependencestatisticscpp

5.79 score 3 stars 20 packages 13 scripts 5.3k downloads 1 mentions 3 exports 1 dependencies

Last updated from:6454a3de4e. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK189
linux-devel-x86_64OK162
source / vignettesOK176
linux-release-arm64OK181
linux-release-x86_64OK132
macos-release-arm64OK126
macos-release-x86_64OK273
macos-oldrel-arm64OK80
macos-oldrel-x86_64OK168
windows-develOK126
windows-releaseOK100
windows-oldrelOK99
wasm-releaseOK123

Exports:indep_testrank_wtdwdm

Dependencies:Rcpp