FuzzyClass: Fuzzy and Non-Fuzzy Classifiers

Provides classifiers that can be used for discrete variables and for continuous variables based on the idea of Naive Bayes and Fuzzy Naive Bayes considering some statistical distributions of articles published in the literature developed in the LabTEVE and LEAPIG research laboratories. Among the proposed classification methods is a with the Gamma distribution, proposed by Moraes, Soares and Machado (2018) <doi:10.1142/9789813273238_0088>.

Version: 0.1.1
Depends: R (≥ 2.10)
Imports: caTools, datasets, doParallel, e1071, EnvStats, foreach, MASS, mlbench, parallel, Rdpack, rootSolve, stats, trapezoid
Suggests: testthat (≥ 3.0.0)
Published: 2022-05-27
Author: Jodavid Ferreira ORCID iD [aut, cre], Ronei Moraes ORCID iD [ctb], Arthur Ricardo [ctb]
Maintainer: Jodavid Ferreira <jodavid at protonmail.com>
BugReports: https://github.com/Jodavid/FuzzyClass/issues
License: MIT + file LICENSE
URL: https://github.com/Jodavid/FuzzyClass
NeedsCompilation: no
Materials: README NEWS
CRAN checks: FuzzyClass results


Reference manual: FuzzyClass.pdf


Package source: FuzzyClass_0.1.1.tar.gz
Windows binaries: r-devel: FuzzyClass_0.1.1.zip, r-release: FuzzyClass_0.1.1.zip, r-oldrel: FuzzyClass_0.1.1.zip
macOS binaries: r-release (arm64): FuzzyClass_0.1.1.tgz, r-oldrel (arm64): FuzzyClass_0.1.1.tgz, r-release (x86_64): FuzzyClass_0.1.1.tgz, r-oldrel (x86_64): FuzzyClass_0.1.1.tgz
Old sources: FuzzyClass archive


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