Package: kpcalg 1.0.1

Petras Verbyla

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.

Authors:Petras Verbyla, Nina Ines Bertille Desgranges, Lorenz Wernisch

kpcalg_1.0.1.tar.gz
kpcalg_1.0.1.zip(r-4.5)kpcalg_1.0.1.zip(r-4.4)kpcalg_1.0.1.zip(r-4.3)
kpcalg_1.0.1.tgz(r-4.5-any)kpcalg_1.0.1.tgz(r-4.4-any)kpcalg_1.0.1.tgz(r-4.3-any)
kpcalg_1.0.1.tar.gz(r-4.5-noble)kpcalg_1.0.1.tar.gz(r-4.4-noble)
kpcalg_1.0.1.tgz(r-4.4-emscripten)kpcalg_1.0.1.tgz(r-4.3-emscripten)
kpcalg.pdf |kpcalg.html✨
kpcalg/json (API)

# Install 'kpcalg' in R:
install.packages('kpcalg', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

On CRAN:

Conda:

archivedpackagesr-universe

2.70 score 5 stars 196 downloads 12 exports 43 dependencies

Last updated 7 days agofrom:4b88b8142b (on package/kpcalg). Checks:3 OK, 6 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 28 2025
R-4.5-winNOTEMar 28 2025
R-4.5-macNOTEMar 28 2025
R-4.5-linuxNOTEMar 28 2025
R-4.4-winNOTEMar 28 2025
R-4.4-macNOTEMar 28 2025
R-4.4-linuxNOTEMar 28 2025
R-4.3-winOKMar 28 2025
R-4.3-macOKMar 28 2025

Exports:dcov.gammafrml.additive.smoothfrml.full.smoothhsic.clusthsic.gammahsic.permhsic.testkernelCItestkpcregrVonPSregrXonSudag2wanpdag

Dependencies:abindbdsmatrixBHBiocGenericsBiocManagerbootcliclueclustercolorspacecorpcorcpp11DEoptimRenergyfastICAgenericsggmgluegraphgsligraphkernlablatticelifecyclelmtestmagrittrMASSMatrixmgcvnlmepcalgpkgconfigRBGLRcppRcppArmadilloRcppEigenrlangrobustbaseRSpectrasfsmiscvcdvctrszoo

kpcalg tutorial

Rendered fromkpcalg_tutorial.Rnwusingknitr::knitron Mar 28 2025.

Last update: 2025-03-24
Started: 2025-03-24