Package: multiclassPairs Type: Package Title: Build MultiClass Pair-Based Classifiers using TSPs or RF Version: 0.4.3 Author: Nour-al-dain Marzouka Maintainer: Nour-al-dain Marzouka Description: A toolbox to train a single sample classifier that uses in-sample feature relationships. The relationships are represented as feature1 < feature2 (e.g. gene1 < gene2). We provide two options to go with. First is based on 'switchBox' package which uses Top-score pairs algorithm. Second is a novel implementation based on random forest algorithm. For simple problems we recommend to use one-vs-rest using TSP option due to its simplicity and for being easy to interpret. For complex problems RF performs better. Both lines filter the features first then combine the filtered features to make the list of all the possible rules (i.e. rule1: feature1 < feature2, rule2: feature1 < feature3, etc...). Then the list of rules will be filtered and the most important and informative rules will be kept. The informative rules will be assembled in an one-vs-rest model or in an RF model. We provide a detailed description with each function in this package to explain the filtration and training methodology in each line. Reference: Marzouka & Eriksson (2021) . URL: https://github.com/NourMarzouka/multiclassPairs License: GPL (>= 2) Encoding: UTF-8 biocViews: Classification Depends: R (>= 4.0.0) Imports: methods, utils, stats, graphics, grDevices, ranger, Boruta, dunn.test, caret, e1071, rdist Suggests: BiocManager, Biobase, switchBox, knitr, rmarkdown, BiocStyle, leukemiasEset, qpdf RoxygenNote: 7.1.1 VignetteBuilder: knitr Config/pak/sysreqs: libicu-dev libclang-dev Repository: https://nourmarzouka.r-universe.dev Date/Publication: 2023-05-01 13:48:40 UTC RemoteUrl: https://github.com/nourmarzouka/multiclasspairs RemoteRef: HEAD RemoteSha: 6c4d9d73c2debf8603df5734c30ea1babe4d47d0 NeedsCompilation: no Packaged: 2026-10-10 15:27:18 UTC; root