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.


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Reference manual

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install.packages("kpcalg")

1.0.1 by Petras Verbyla, 2 years ago


Browse source code at https://github.com/cran/kpcalg


Authors: Petras Verbyla , Nina Ines Bertille Desgranges , Lorenz Wernisch


Documentation:   PDF Manual  


GPL (>= 2) license


Imports pcalg, energy, kernlab, parallel, mgcv, RSpectra, methods, graph, stats, utils

Suggests Rgraphviz, knitr


See at CRAN