abcrlda (1.0.1)

0 users

Asymptotically Bias-Corrected Regularized Linear Discriminant Analysis.

https://ieeexplore.ieee.org/document/8720003/
https://dx.doi.org/10.1109/LSP.2019.2918485
http://cran.r-project.org/web/packages/abcrlda

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) .

Maintainer: Dmitriy Fedorov
Author(s): Dmitriy Fedorov [aut, cre], Amin Zollanvari [aut], Aresh Dadlani [aut], Berdakh Abibullaev [aut]

License: GPL-3

Uses: Does not use any package

Released 18 days ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of abcrlda yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for abcrlda on google, google scholar, r-help, r-devel.

Visit abcrlda on R Graphical Manual.