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Kernel PC (kPC) algorithm for causal structure learning and causal inference using graphical models. kPC is a version of PC algorithm that uses kernel based independence criteria in order to be able to deal with nonlinear relationships and nonGaussian noise.
Package details 


Author  Petras Verbyla, Nina Ines Bertille Desgranges, Lorenz Wernisch 
Maintainer  Petras Verbyla <[email protected]> 
License  GPL (>= 2) 
Version  1.0.1 
Package repository  View on CRAN 
Installation 
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