R Observatory: Metrics for T1FF version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

T1FF

0.1.0Package record

Type-1 Fuzzy Functions for Classification, Regression, and Forecasting

0packages depend

445downloads / year

89.5%test coverage

13/13flavors OK

Overview

About

Maintained by Nihat TakCRAN page ↗

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.

Changes in 0.1.0

Initial public development release.
Added Type-1 Fuzzy Function models for binary classification and numeric regression using fuzzy C-means and membership-weighted local predictions.
Added formula and column interfaces, categorical predictor encoding, feature scaling, and explicit missing-value handling.
Added automatic separation detection, dependency-free ridge-logistic fallback, and configurable probability clipping.
Added validation, K-fold, and stratified K-fold hyperparameter tuning with task-appropriate metrics.
Added MAPE and SMAPE regression metrics to tuning, evaluation, and nested benchmarking, with explicit handling of zero actual values.
Added efficient joint tuning of cluster count, fuzziness, and classification threshold for threshold-dependent metrics.

Show all changes in 0.1.0Hide the rest of the changes in 0.1.0

Added model evaluation and repeated nested cross-validation with matched logistic or linear regression baselines.
Added optional probabilistic SVM and epsilon-SVR learners within fuzzy clusters via local_model = "svm".
Tightened public-input validation for integer resampling controls, logical scaling flags, classification labels, and validation split sizes.
Ensured unresolved final-model GLM instability warnings remain visible after tuning while routine candidate-fit warnings stay contained.
Added a comprehensive vignette and PDF reference manual.

From NEWS.md in the release

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("T1FF", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-t1ff

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-T1FF

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-T1FF

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OKNow
OK7 OK2026-09-16

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 359 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 13 (1 internal)includes a package overview page
Examples that run: 100%4 run in a plain check
Exported functions with examples: 100%
Documented parameters: 82%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

T1FF: Classification, Regression, Forecasting, Tuning, and Nested Validation

How these are measured

Downloads

445

CRAN downloads in the past year

Rank #24,856 · ~1/day · ~37/mo

Releases R versions

Daily download trend is not available in this view yet.

35730 days

44590 days

4451 year

Compare downloads with other packages →

Also on7 r2u

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing T1FF adds 3 packages (3 with compiled code, 1.4 MB of source tarballs). Heaviest: kernlab 1.0 MB, e1071 311 KB, proxy 70 KB.

Depends (1)

R >= 4.1.0

Imports (4)

e1071 kernlabstatsutils

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Nihat Tak

Author, Maintainer since 0.1.0 (2026)

Releases (1)

0.1.0Latest
record
2026-09-15 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-09-15
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: 60 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("T1FF")

Format

Tak, N. (2026). T1FF: Type-1 Fuzzy Functions for Classification, Regression, and Forecasting (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.T1FF

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for T1FF version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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