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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "kpcalg" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'kpcalg: Kernel PC Algorithm for Causal Structure Detection'
version: 1.0.1
doi: 10.32614/CRAN.package.kpcalg
abstract: 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:
- family-names: Verbyla
  given-names: Petras
  email: petras.verbyla@mrc-bsu.cam.ac.uk
- family-names: Desgranges
  given-names: Nina Ines Bertille
- family-names: Wernisch
  given-names: Lorenz
repository: https://cranhaven.r-universe.dev
commit: 4b88b8142bb2a8116681f8cf4e1ec314081ddc24
date-released: '2017-01-19'
contact:
- family-names: Verbyla
  given-names: Petras
  email: petras.verbyla@mrc-bsu.cam.ac.uk