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.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | e1071, kernlab, stats, utils |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-09-15 |
| DOI: | 10.32614/CRAN.package.T1FF (may not be active yet) |
| Author: | Nihat Tak [aut, cre] |
| Maintainer: | Nihat Tak <nihattak at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | T1FF results |
| Reference manual: | T1FF.html , T1FF.pdf |
| Vignettes: |
T1FF: Classification, Regression, Forecasting, Tuning, and Nested Validation (source, R code) |
| Package source: | T1FF_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): T1FF_0.1.0.tgz, r-release (x86_64): T1FF_0.1.0.tgz, r-oldrel (x86_64): T1FF_0.1.0.tgz |
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