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wdm  

Weighted Dependence Measures
View on CRAN: Click here


Download and install wdm package within the R console
Install from CRAN:
install.packages("wdm")

Install from Github:
library("remotes")
install_github("cran/wdm")

Install by package version:
library("remotes")
install_version("wdm", "0.2.4")



Attach the package and use:
library("wdm")
Maintained by
Thomas Nagler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-30
Latest Update: 2023-08-10
Description:
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).
How to cite:
Thomas Nagler (2018). wdm: Weighted Dependence Measures. R package version 0.2.4, https://cran.r-project.org/web/packages/wdm. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2018-05-30 10:12), 0.1.1 (2018-06-13 00:50), 0.2.0 (2019-02-07 23:20), 0.2.1 (2019-04-11 15:20), 0.2.2 (2020-08-02 17:20), 0.2.3 (2022-03-17 01:40)
Other packages that cited wdm R package
View wdm citation profile
Other R packages that wdm depends, imports, suggests or enhances
Complete documentation for wdm
Functions, R codes and Examples using the wdm R package
Some associated functions: indep_test . rank_wtd . wdm-package . wdm . 
Some associated R codes: RcppExports.R . indep_test.R . rank_wtd.R . wdm-package.R . wdm.R .  Full wdm package functions and examples
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