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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: | 1.1 |
Depends: | R (≥ 4.0) |
Imports: | dcov, Rfast, stats |
Suggests: | Rfast2 |
Published: | 2024-12-10 |
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 |
Reference manual: | dcorVS.pdf |
Package source: | dcorVS_1.1.tar.gz |
Windows binaries: | r-devel: dcorVS_1.1.zip, r-release: dcorVS_1.0.zip, r-oldrel: dcorVS_1.1.zip |
macOS binaries: | r-release (arm64): dcorVS_1.1.tgz, r-oldrel (arm64): dcorVS_1.1.tgz, r-release (x86_64): dcorVS_1.1.tgz, r-oldrel (x86_64): dcorVS_1.1.tgz |
Old sources: | dcorVS archive |
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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.
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