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 non-linear relationships and non-Gaussian noise.
|Author||Petras Verbyla, Nina Ines Bertille Desgranges, Lorenz Wernisch|
|Maintainer||Petras Verbyla <[email protected]>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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