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
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-27 22:52:36 UTC; DFedRnd
Repository: CRAN
Date/Publication: 2020-05-28 04:20:02 UTC
