Package: FuzzyLogit
Type: Package
Title: Fuzzy Logistic Regression
Version: 0.1.1
Authors@R: c(
    person("Md Faruk", "Hasan",
           email = "md_faruk_hasan@sfu.ca",
           role = c("aut", "cre")),
    person("Azizur", "Rahman",
           role = "aut"))
Description: Fits logistic regression models in which the binary
        response is represented by a triangular fuzzy number rather
        than an exact crisp label, allowing uncertainty in class
        membership to be encoded directly in the outcome. Model
        parameters are estimated using the Fuzzy Least Squares approach
        of Diamond (1988) <doi:10.1016/0020-0255(88)90047-3>, following
        the integrated fuzzy logistic regression method of Yapici
        Pehlivan and Sahin (2018)
        <https://dergipark.org.tr/en/pub/jssa/issue/37877/437725>.
        Provides fitting, prediction, classification, cross-validation,
        and diagnostic plotting methods, along with tools for comparing
        model behaviour across different assumed levels of label
        uncertainty.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, dplyr, tidyr, ggplot2, MASS
Suggests: testthat (>= 3.0.0)
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2026-10-11 13:03:02 UTC; root
Author: Md Faruk Hasan [aut, cre], Azizur Rahman [aut]
Maintainer: Md Faruk Hasan <md_faruk_hasan@sfu.ca>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-09-09 09:40:14 UTC
RemoteUrl: https://github.com/cran/FuzzyLogit
RemoteRef: HEAD
RemoteSha: 795946b75c072d3f9a38e6be87a3b2f41d2994b3