CRAN/E | weightedGCM

weightedGCM

Weighted Generalised Covariance Measure Conditional Independence Test

Installation

About

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 (2021) "The Weighted Generalised Covariance Measure" . 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" .

Key Metrics

Version 0.1.0
Published 2021-11-29 885 days ago
Needs compilation? no
License GPL-2
CRAN checks weightedGCM results

Downloads

Yesterday 3 0%
Last 7 days 57 +24%
Last 30 days 189 +4%
Last 90 days 501 -29%
Last 365 days 2.253 +5%

Maintainer

Maintainer

Cyrill Scheidegger

cyrill.scheidegger@stat.math.ethz.ch

Authors

Cyrill Scheidegger

aut / cre

Julia Hoerrmann

ths

Peter Buehlmann

ths

Jonas Peters

ctb / cph

(The code in 'trainFunctions.R' is copied (with small modifications) from the R package 'GeneralisedCovarianceMeasure' by Jonas Peters and Rajen D. Shah)

Rajen D. Shah

ctb / cph

(The code in 'trainFunctions.R' is copied (with small modifications) from the R package 'GeneralisedCovarianceMeasure' by Jonas Peters and Rajen D. Shah)

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

GeneralisedCovarianceMeasure
methods
mgcv
stats
xgboost

Suggests

testthat ≥ 3.0.0