didec: Directed Dependence Coefficient

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, <doi:10.48550/arXiv.2212.01621>), and the paper by Fuchs and Wang (2024, <doi:10.1016/j.ijar.2024.109185>).

Version:	0.1.0
Depends:	R (≥ 2.10)
Imports:	copBasic (≥ 2.2.3), cowplot (≥ 1.1.2), dendextend (≥ 1.17.1), factoextra (≥ 1.0.7), FOCI (≥ 0.1.3), ggplot2 (≥ 3.4.4), graphics (≥ 4.3.0), grDevices (≥ 0.5-1), gtools (≥ 3.9.5), phylogram (≥ 2.1.0), rlang (≥ 1.1.4), stats (≥ 4.3.0)
Published:	2024-08-26
DOI:	10.32614/CRAN.package.didec
Author:	Yuping Wang [aut, cre], Sebastian Fuchs [aut], Jonathan Ansari [aut]
Maintainer:	Yuping Wang <yuping.wang at plus.ac.at>
License:	MIT + file LICENSE
NeedsCompilation:	no
CRAN checks:	didec results

Documentation:

Reference manual:

didec.pdf

Downloads:

Package source:	didec_0.1.0.tar.gz
Windows binaries:	r-devel: didec_0.1.0.zip, r-release: didec_0.1.0.zip, r-oldrel: didec_0.1.0.zip
macOS binaries:	r-release (arm64): didec_0.1.0.tgz, r-oldrel (arm64): didec_0.1.0.tgz, r-release (x86_64): didec_0.1.0.tgz, r-oldrel (x86_64): didec_0.1.0.tgz

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