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: 2026-10-16 10:52:52 UTC; root
Author: Nihat Tak [aut, cre]
Maintainer: Nihat Tak <nihattak@gmail.com>
Repository: https://nihattak.r-universe.dev
Date/Publication: 2026-09-15 10:50:33 UTC
RemoteUrl: https://github.com/cran/T1FF
RemoteRef: HEAD
RemoteSha: 62daec1445e122b1172120d782ef0a2447fd79d1