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FuzzyClass

Fuzzy and Non-Fuzzy Classifiers

v0.1.7 · Sep 3, 2025 · MIT + file LICENSE

Description

It provides classifiers which can be used for discrete variables and for continuous variables based on the Naive Bayes and Fuzzy Naive Bayes hypothesis. Those methods were developed by researchers belong to the 'Laboratory of Technologies for Virtual Teaching and Statistics (LabTEVE)' and 'Laboratory of Applied Statistics to Image Processing and Geoprocessing (LEAPIG)' at 'Federal University of Paraiba, Brazil'. They considered some statistical distributions and their papers were published in the scientific literature, as for instance, the Gaussian classifier using fuzzy parameters, proposed by 'Moraes, Ferreira and Machado' (2021) <doi:10.1007/s40815-020-00936-4>.

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r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
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r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies caTools doParallel dplyr e1071 EnvStats foreach MASS mvtnorm purrr Rdpack rlang rootSolve tibble tidyr trapezoid FuzzyClass

Version History

new 0.1.7 Mar 10, 2026
updated 0.1.7 ← 0.1.6 diff Sep 2, 2025
updated 0.1.6 ← 0.1.5 diff Feb 13, 2024
updated 0.1.5 ← 0.1.4 diff Aug 16, 2023
updated 0.1.4 ← 0.1.3 diff Mar 6, 2023
updated 0.1.3 ← 0.1.2 diff Nov 15, 2022
updated 0.1.2 ← 0.1.1 diff Aug 24, 2022
updated 0.1.1 ← 0.1.0 diff May 26, 2022
new 0.1.0 May 23, 2022