Package: NBLDA Type: Package Title: Negative Binomial Linear Discriminant Analysis Version: 1.0.1.9000 Date: 2022-02-21 Authors@R: c(person("Dincer", "Goksuluk", role = c("aut", "cre"), email = "dincergoksuluk@erciyes.edu.tr"), person("Gokmen", "Zararsiz", role = c("aut")), person("Selcuk", "Korkmaz", role = c("aut")), person(c("Ahmet", "Ergun"), "Karaagaoglu", role = c("ths"))) Description: 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. Imports: methods, stats, graphics Suggests: knitr, PoiClaClu, sSeq Depends: ggplot2 License: GPL(>=2) Encoding: UTF-8 LazyData: true RoxygenNote: 7.1.2 Collate: 'FindBestTransform.R' 'all_classes.R' 'all_generics.R' 'control.R' 'copiedFromOtherPackages.R' 'generateCountData.R' 'getShrinkedDispersions.R' 'helper_functions.R' 'normalize_counts.R' 'package_and_supplementary.R' 'plot.nblda.R' 'predict.nblda.R' 'trainNBLDA.R' 'zzz_methods.R' Repository: https://dncr.r-universe.dev Date/Publication: 2022-02-21 19:09:33 UTC RemoteUrl: https://github.com/dncr/nblda RemoteRef: HEAD RemoteSha: 3b098934a8797dc9546483eb244960ae4f9ca084 NeedsCompilation: no Packaged: 2026-10-08 10:01:36 UTC; root Author: Dincer Goksuluk [aut, cre], Gokmen Zararsiz [aut], Selcuk Korkmaz [aut], Ahmet Ergun Karaagaoglu [ths] Maintainer: Dincer Goksuluk