Package: abcrlda
Type: Package
Title: Asymptotically Bias-Corrected Regularized Linear Discriminant
        Analysis
Version: 1.0.3
Author: Dmitriy Fedorov [aut, cre], Amin Zollanvari [aut], Aresh
        Dadlani [aut], Berdakh Abibullaev [aut]
Maintainer: Dmitriy Fedorov <dmitriy.fedorov@nu.edu.kz>
Authors@R: c(
    person("Dmitriy", "Fedorov", email = "dmitriy.fedorov@nu.edu.kz", role = c("aut", "cre")),
    person("Amin", "Zollanvari", email = "amin.zollanvari@nu.edu.kz", role = "aut"),
    person("Aresh", "Dadlani", email = "aresh.dadlani@nu.edu.kz ", role = "aut"),
    person("Berdakh", "Abibullaev", email = "berdakh.abibullaev@nu.edu.kz", role = "aut"))
Description: Offers methods to perform asymptotically bias-corrected
        regularized linear discriminant analysis (ABC_RLDA) for
        cost-sensitive binary classification. The bias-correction is an
        estimate of the bias term added to regularized discriminant
        analysis (RLDA) that minimizes the overall risk. The default
        magnitude of misclassification costs are equal and set to 0.5;
        however, the package also offers the options to set them to
        some predetermined values or, alternatively, take them as
        hyperparameters to tune. A. Zollanvari, M. Abdirash, A. Dadlani
        and B. Abibullaev (2019) <doi:10.1109/LSP.2019.2918485>.
Imports: stats
License: GPL-3
URL: https://ieeexplore.ieee.org/document/8720003/,
        https://dx.doi.org/10.1109/LSP.2019.2918485
Encoding: UTF-8
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2026-09-23 06:43:05 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2020-05-28 03:20:02 UTC
RemoteUrl: https://github.com/cran/abcrlda
RemoteRef: HEAD
RemoteSha: 82dbc018c50e027776a117ee194d8c8e63620884