IndependenceTests: Nonparametric tests of independence between random vectors.

Functions for testing mutual independence between many numerical random vectors or serial independence of a multivariate stationary sequence. The proposed test works when some or all of the marginal distributions are singular with respect to Lebesgue measure.

Author
P Lafaye de Micheaux <lafaye@dms.umontreal.ca>, M Bilodeau <bilodeau@dms.umontreal.ca>
Date of publication
2012-12-11 16:46:04
Maintainer
P Lafaye de Micheaux <lafaye@dms.umontreal.ca>
License
GPL (>= 2)
Version
0.2

View on CRAN

Man pages

A-dep-tests
Tests for mutual and serial independence of categorical...
dependogram
Nonparametric tests of independence between random vectors
dna
dna sequence
highschool
Highschool data on alcohol, cigarette and marijuana use for...

Files in this package

IndependenceTests
IndependenceTests/MD5
IndependenceTests/TODO
IndependenceTests/R
IndependenceTests/R/A-dep-tests.R
IndependenceTests/R/dependogram.R
IndependenceTests/src
IndependenceTests/src/dependogram.cpp
IndependenceTests/src/others
IndependenceTests/src/others/Cnp.cpp
IndependenceTests/src/others/combn.cpp
IndependenceTests/src/others/normeRnAwR.cpp
IndependenceTests/inst
IndependenceTests/inst/doc
IndependenceTests/inst/HISTORY
IndependenceTests/inst/CITATION
IndependenceTests/INDEX
IndependenceTests/NAMESPACE
IndependenceTests/man
IndependenceTests/man/A-dep-tests.Rd
IndependenceTests/man/highschool.Rd
IndependenceTests/man/dependogram.Rd
IndependenceTests/man/dna.Rd
IndependenceTests/data
IndependenceTests/data/dna.rda
IndependenceTests/data/highschool.rda
IndependenceTests/DESCRIPTION