Package: T1FF
Title: Type-1 Fuzzy Functions for Classification, Regression, and
        Forecasting
Version: 0.1.0
Authors@R: person("Nihat", "Tak", email = "nihattak@gmail.com", role = c("aut", "cre"))
Description: Fits Type-1 Fuzzy Function models for binary classification,
    numeric regression, and time-series forecasting with user-supplied
    temporal predictors. The package combines fuzzy C-means memberships,
    nonlinear membership transformations, cluster-specific linear or support
    vector machine models, and membership-weighted predictions. It also
    provides model evaluation, validation, K-fold and stratified K-fold tuning,
    and repeated nested cross-validation with task-appropriate metrics. The
    regression workflow can be used for forecasting when temporal dependence
    is represented by lagged or seasonal predictors and assessment partitions
    preserve chronological order.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: e1071, kernlab, stats, utils
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-09-05 18:32:29 UTC; nihattak
Author: Nihat Tak [aut, cre]
Maintainer: Nihat Tak <nihattak@gmail.com>
Repository: CRAN
Date/Publication: 2026-09-15 10:50:33 UTC
