CRAN/E | kpcalg

kpcalg

Kernel PC Algorithm for Causal Structure Detection

Installation

About

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.

Key Metrics

Version 1.0.1
R ≥ 3.0.2
Published 2017-01-22 2652 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks kpcalg results

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Maintainer

Maintainer

Petras Verbyla

petras.verbyla@mrc-bsu.cam.ac.uk

Authors

Petras Verbyla
Nina Ines Bertille Desgranges
Lorenz Wernisch

Material

Reference manual
Package source

Vignettes

kpcalg tutorial

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 3.0.2

Imports

pcalg
energy
kernlab
parallel
mgcv
RSpectra
methods
graph
stats
utils

Suggests

Rgraphviz
knitr