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).

Version:	0.2.3
Depends:	R (≥ 3.2.0)
Imports:	Rcpp
LinkingTo:	Rcpp
Suggests:	testthat, Hmisc, copula, covr
Published:	2022-03-17
Author:	Thomas Nagler [aut, cre]
Maintainer:	Thomas Nagler <mail at tnagler.com>
BugReports:	https://github.com/tnagler/wdm-r/issues
License:	MIT + file LICENSE
URL:	https://github.com/tnagler/wdm-r
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	wdm results

Documentation:

Reference manual:

wdm.pdf

Downloads:

Package source:	wdm_0.2.3.tar.gz
Windows binaries:	r-devel: wdm_0.2.3.zip, r-release: wdm_0.2.3.zip, r-oldrel: wdm_0.2.3.zip
macOS binaries:	r-release (arm64): wdm_0.2.3.tgz, r-oldrel (arm64): wdm_0.2.3.tgz, r-release (x86_64): wdm_0.2.3.tgz, r-oldrel (x86_64): wdm_0.2.3.tgz
Old sources:	wdm archive

Reverse dependencies:

Reverse imports:	BBcor, CondCopulas, ElliptCopulas, GDAtools, MMDCopula, svines, wdnet
Reverse linking to:	portvine, rvinecopulib, svines, vinereg
Reverse suggests:	correlation, lcopula

Linking:

Please use the canonical form https://CRAN.R-project.org/package=wdm to link to this page.