kpcalg 1.0.1

Kernel PC Algorithm for Causal Structure Detection

Released Jan 22, 2017 by Petras Verbyla

This package cannot yet be used with Renjin it depends on other packages which are not available: graph and pcalg 2.6-0


pcalg 2.6-0 energy 1.7-5 kernlab 0.9-27 RSpectra 0.13-1 mgcv 1.8-24

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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