NBLDA: Negative Binomial Linear Discriminant Analysis

We proposed a package for classification task which uses Negative Binomial distribution within Linear Discriminant Analysis (NBLDA). It is basically an extension of '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, hence, it uses all variables in the classifier. Here, we extent Dong et. al.'s algorithm to 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. However, the clustering task will be included with the following versions.

Version: 1.0.0
Depends: ggplot2
Imports: methods, stats, graphics
Suggests: knitr
Published: 2020-05-28
Author: Dincer Goksuluk [aut, cre], Gokmen Zararsiz [aut], Selcuk Korkmaz [aut], Ahmet Ergun Karaagaoglu [ths, aut]
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

Documentation:

Reference manual: NBLDA.pdf

Downloads:

Package source: NBLDA_1.0.0.tar.gz
Windows binaries: r-devel: NBLDA_1.0.0.zip, r-release: NBLDA_1.0.0.zip, r-oldrel: NBLDA_1.0.0.zip
macOS binaries: r-release (arm64): NBLDA_1.0.0.tgz, r-release (x86_64): NBLDA_1.0.0.tgz, r-oldrel: NBLDA_1.0.0.tgz
Old sources: NBLDA archive

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