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
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports3 packages
- Suggests1 package