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weightedGCM: Weighted Generalised Covariance Measure Conditional IndependenceTest

A conditional independence test that can be applied both to univariate and multivariate random variables. The test is based on a weighted form of the sample covariance of the residuals after a nonlinear regression on the conditioning variables. Details are described in Scheidegger, Hoerrmann and Buehlmann (2022) "The Weighted Generalised Covariance Measure" <http://jmlr.org/papers/v23/21-1328.html>. The test is a generalisation of the Generalised Covariance Measure (GCM) implemented in the R package 'GeneralisedCovarianceMeasure' by Jonas Peters and Rajen D. Shah based on Shah and Peters (2020) "The Hardness of Conditional Independence Testing and the Generalised Covariance Measure" <doi:10.1214/19-AOS1857>.

Version:0.1.1
Imports:methods,mgcv, stats,xgboost (≥ 3.1.2.1)
Suggests:testthat (≥ 3.0.0)
Published:2025-12-12
DOI:10.32614/CRAN.package.weightedGCM
Author:Cyrill Scheidegger [aut, cre, cph], Julia Hoerrmann [ths], Peter Buehlmann [ths], Jonas Peters [ctb, cph] (Parts of the code are inspired by similar functions from the R package 'GeneralisedCovarianceMeasure' by Jonas Peters and Rajen D. Shah), Rajen D. Shah [ctb, cph] (Parts of the code are inspired by similar functions from the R package 'GeneralisedCovarianceMeasure' by Jonas Peters and Rajen D. Shah)
Maintainer:Cyrill Scheidegger <cyrill.scheidegger at stat.math.ethz.ch>
License:GPL-2
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:weightedGCM results

Documentation:

Reference manual:weightedGCM.html ,weightedGCM.pdf

Downloads:

Package source: weightedGCM_0.1.1.tar.gz
Windows binaries: r-devel:weightedGCM_0.1.1.zip, r-release:weightedGCM_0.1.1.zip, r-oldrel:weightedGCM_0.1.1.zip
macOS binaries: r-release (arm64):weightedGCM_0.1.1.tgz, r-oldrel (arm64):weightedGCM_0.1.1.tgz, r-release (x86_64):weightedGCM_0.1.1.tgz, r-oldrel (x86_64):weightedGCM_0.1.1.tgz
Old sources: weightedGCM archive

Linking:

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