abcrlda: Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis

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>.

Getting started

Package details

AuthorDmitriy Fedorov [aut, cre], Amin Zollanvari [aut], Aresh Dadlani [aut], Berdakh Abibullaev [aut]
MaintainerDmitriy Fedorov <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the abcrlda package in your browser

Any scripts or data that you put into this service are public.

abcrlda documentation built on July 2, 2020, 4:13 a.m.