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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 "didec" in publications use:'
type: software
license: MIT
title: 'didec: Directed Dependence Coefficient'
version: 0.1.0
doi: 10.32614/CRAN.package.didec
abstract: Directed Dependence Coefficient (didec) is a measure of directed dependence.
  Multivariate Feature Ordering by Conditional Independence (MFOCI) is a variable
  selection algorithm based on didec. Hierarchical Variable Clustering (VarClustPartition)
  is a variable clustering method based on didec. For more information, see the paper
  by Ansari and Fuchs (2024, <https://doi.org/10.48550/arXiv.2212.01621>), and the
  paper by Fuchs and Wang (2024, <https://doi.org/10.1016/j.ijar.2024.109185>).
authors:
- family-names: Wang
  given-names: Yuping
  email: yuping.wang@plus.ac.at
- family-names: Fuchs
  given-names: Sebastian
  email: sebastian.fuchs@plus.ac.at
- family-names: Ansari
  given-names: Jonathan
  email: jonathan.ansari@plus.ac.at
repository: https://yupingwang7.r-universe.dev
commit: d5e1b726c20bf4a37417ec4a2472e048fd5aa4e6
date-released: '2024-08-26'
contact:
- family-names: Wang
  given-names: Yuping
  email: yuping.wang@plus.ac.at