NBLDA: Negative Binomial Linear Discriminant Analysis

We proposed a package for the classification task which uses Negative Binomial distribution within Linear Discriminant Analysis (NBLDA). It is an extension of the 'PoiClaClu' package to Negative Binomial distribution. The classification algorithms are based on the papers Dong et al. (2016, ISSN: 1471-2105) and Witten, DM (2011, ISSN: 1932-6157) for NBLDA and PLDA, respectively. Although PLDA is a sparse algorithm and can be used for variable selection, the algorithm proposed by Dong et al. is not sparse. Therefore, it uses all variables in the classifier. Here, we extend Dong et al.'s algorithm to the sparse case by shrinking overdispersion towards 0 (Yu et al., 2013, ISSN: 1367-4803) and offset parameter towards 1 (as proposed by Witten DM, 2011). We support only the classification task with this version.

Version: 1.0.1
Depends: ggplot2
Imports: methods, stats, graphics
Suggests: knitr, PoiClaClu, sSeq
Published: 2022-02-21
DOI: 10.32614/CRAN.package.NBLDA
Author: Dincer Goksuluk [aut, cre], Gokmen Zararsiz [aut], Selcuk Korkmaz [aut], Ahmet Ergun Karaagaoglu [ths]
Maintainer: Dincer Goksuluk <dincergoksuluk at erciyes.edu.tr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: NBLDA citation info
CRAN checks: NBLDA results


Reference manual: NBLDA.pdf


Package source: NBLDA_1.0.1.tar.gz
Windows binaries: r-devel: NBLDA_1.0.1.zip, r-release: NBLDA_1.0.1.zip, r-oldrel: NBLDA_1.0.1.zip
macOS binaries: r-release (arm64): NBLDA_1.0.1.tgz, r-oldrel (arm64): NBLDA_1.0.1.tgz, r-release (x86_64): NBLDA_1.0.1.tgz, r-oldrel (x86_64): NBLDA_1.0.1.tgz
Old sources: NBLDA archive


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