CRAN/E | GeneralisedCovarianceMeasure

GeneralisedCovarianceMeasure

Test for Conditional Independence Based on the Generalized Covariance Measure (GCM)

Installation

About

A statistical hypothesis test for conditional independence. It performs nonlinear regressions on the conditioning variable and then tests for a vanishing covariance between the resulting residuals. It can be applied to both univariate random variables and multivariate random vectors. Details of the method can be found in Rajen D. Shah and Jonas Peters: The Hardness of Conditional Independence Testing and the Generalised Covariance Measure, Annals of Statistics 48(3), 1514–1538, 2020.

Key Metrics

Version 0.2.0
Published 2022-03-24 757 days ago
Needs compilation? no
License GPL-2
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Maintainer

Maintainer

Jonas Peters

jonas.peters@math.ku.dk

Authors

Jonas Peters
Rajen D. Shah

Material

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

Old Sources

GeneralisedCovarianceMeasure archive

Imports

CVST
graphics
kernlab
mgcv
stats
xgboost

Reverse Imports

weightedGCM

Reverse Suggests

ghcm