Package: dcorVS
Type: Package
Title: Variable Selection Algorithms Using the Distance Correlation
Version: 1.1
Date: 2024-12-10
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
Suggests: Rfast2
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: 2026-10-07 08:45:16 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2024-12-10 10:30:06 UTC
RemoteUrl: https://github.com/cran/dcorVS
RemoteRef: HEAD
RemoteSha: ad3605c34735d243ec7b75563a7494e3296d0284