Package: dcorVS
Type: Package
Title: Variable Selection Algorithms Using the Distance Correlation
Version: 1.0
Date: 2023-10-17
Authors@R: person("Michail", "Tsagris", role = c("aut", "cre"), email = "mtsagris@uoc.gr")
Author: Michail Tsagris [aut, cre]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Depends: R (>= 4.0)
Imports: dcov, Rfast, stats
Description: 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>.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2023-10-17 11:07:26 UTC; mtsag
Repository: CRAN
Date/Publication: 2023-10-18 14:10:02 UTC
Built: R 4.2.0; ; 2023-10-18 14:33:55 UTC; unix
