weightedGCM
Weighted Generalised Covariance Measure Conditional Independence Test
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" doi:10.48550/arXiv.2111.04361. 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:10.48550/arXiv.1804.07203.
- Version0.1.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release11/29/2021
Documentation
Team
Cyrill Scheidegger
Rajen D. Shah
Show author detailsRolesContributor, Copyright holderJonas Peters
Show author detailsRolesContributor, Copyright holderPeter Buehlmann
Julia Hoerrmann
Show author detailsRolesThesis advisor
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Last 30 days
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Last 365 days
This package has been downloaded 2,171 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jan 18, 2025 with 27 downloads.
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Dependencies
- Imports3 packages
- Suggests1 package