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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.
Getting started
Browse package contents
Package details |
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| Author | Petras Verbyla, Nina Ines Bertille Desgranges, Lorenz Wernisch |
| Maintainer | Petras Verbyla <petras.verbyla@mrc-bsu.cam.ac.uk> |
| License | GPL (>= 2) |
| Version | 1.0.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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