shubhadeep4/jdcov: Tests for joint independence via joint distance covariance
Computes joint distance covariance (JdCov) among more than two random vectors of arbitrary dimensions (see Chakraborty and Zhang, 2019) and implements a bootstrap based test for joint independence among the random vectors based on JdCov.
Getting started
Browse package contents
Package details |
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| Author | as.person(c("Shubhadeep Chakraborty <shubhadeep_stat@yahoo.in> [aut, cre]","Dongbang Yuan <yuandb@stat.tamu.edu> [aut, cre]", "Xianyang Zhang <zhangxiany@stat.tamu.edu> [aut]")) |
| Maintainer | Shubhadeep Chakraborty <shubhadeep_stat@yahoo.in> |
| License | GPL-3 |
| Version | 1.0.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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