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.


Reference manual

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1.0.1 by Petras Verbyla, 5 years ago

Browse source code at

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