Kernel PC Algorithm for Causal Structure Detection

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Documentation for package ‘kpcalg’ version 1.0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

dcov.gamma	Test to check the independence between two variables x and y using the Distance Covariance. The dcov.gamma() function, uses Distance Covariance independence criterion with gamma approximation to test for independence between two random variables.
frml.additive.smooth	Formula for GAM without crossterms
frml.full.smooth	Formula for GAM with crossterms
hsic.clust	HSIC cluster permutation conditional independence test
hsic.gamma	Hilber Schmidt Independence Criterion gamma test
hsic.perm	Hilber Schmidt Independence Criterion permutation test
hsic.test	Hilber Schmidt Independence Criterion test
kernelCItest	Kernel Conditional Independence test
kpc	Estimate the WAN-PDAG using the kPC Algorithm
regrVonPS	Check if variable can be regressed to independence on its parents
regrXonS	Regress set of variables on its parents
udag2wanpdag	Last kPC Algorithm Step: Extend Object with Skeleton to Completed PDAG