kpcalg (1.0.1)

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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.

Maintainer: Petras Verbyla
Author(s): Petras Verbyla, Nina Ines Bertille Desgranges, Lorenz Wernisch

License: GPL (>= 2)

Uses: energy, graph, kernlab, mgcv, pcalg, RSpectra, knitr

Released about 3 years ago.



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