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dcorVS: Variable Selection Algorithms Using the Distance Correlation

The 'FBED' and 'mmpc' variable selection algorithms have been implemented using the distance correlation. The references include: Tsamardinos I., Aliferis C. F. and Statnikov A. (2003). "Time and sample efficient discovery of Markovblankets and direct causal relations". In Proceedings of the ninth ACM SIGKDD international Conference. <doi:10.1145/956750.956838>. Borboudakis G. and Tsamardinos I. (2019). "Forward-backward selection with early dropping". Journal of Machine Learning Research, 20(8): 1–39. <doi:10.48550/arXiv.1705.10770>. Huo X. and Szekely G.J. (2016). "Fast computing for distance covariance". Technometrics, 58(4): 435–447. <doi:10.1080/00401706.2015.1054435>.

Version: 1.0
Depends: R (≥ 4.0)
Imports: dcov, Rfast, stats
Published: 2023-10-18
DOI: 10.32614/CRAN.package.dcorVS
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris at uoc.gr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: dcorVS results

Documentation:

Reference manual: dcorVS.pdf

Downloads:

Package source: dcorVS_1.0.tar.gz
Windows binaries: r-devel: dcorVS_1.0.zip, r-release: dcorVS_1.0.zip, r-oldrel: dcorVS_1.0.zip
macOS binaries: r-release (arm64): dcorVS_1.0.tgz, r-oldrel (arm64): dcorVS_1.0.tgz, r-release (x86_64): dcorVS_1.0.tgz, r-oldrel (x86_64): dcorVS_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dcorVS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.