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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: | 1.0 |
| Depends: | R (≥ 4.0) |
| Imports: | dcov, Rfast, stats |
| Published: | 2023-10-18 |
| 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_1.0.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 |
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These binaries (installable software) and packages are in development.
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