kpcalg: Kernel PC Algorithm for Causal Structure Detection

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.

Package details

AuthorPetras Verbyla, Nina Ines Bertille Desgranges, Lorenz Wernisch
MaintainerPetras Verbyla <[email protected]>
LicenseGPL (>= 2)
Version1.0.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("kpcalg")

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kpcalg documentation built on May 2, 2019, 12:39 p.m.