ntsDatasets: Neutrosophic Data Sets

Overview
ntsDatasets is an R package that provides a collection of datasets designed for modeling and analysis with neutrosophic sets — a generalization of classical and fuzzy sets that accounts for indeterminacy.
This package supports the development and benchmarking of statistical methods that handle uncertainty and partial truth in data.
Installation
Install the package from CRAN:
install.packages("ntsDatasets")
Or install the development version from GitHub:
# install.packages("devtools")
devtools::install_github("a-roshani/ntsDatasets")
Quick Start
library(ntsDatasets)
data("balls")
head(balls)
Authors
- Mina Norouzirad : Lead Developer, Conceptualization
- Amin Roshani: Developer
- Danial Mazarei: Developer
Documentation
For detailed documentation, please refer to:
Citation
If you use PSinference in your research, please cite:
@Manual{ntsDatasets2024,
title = {ntsDatasets: Neutrosophic Data Sets},
author = {Roshani, A. and Norouzirad, M. and Mazarei, D.},
year = {2024},
note = {R package version 0.2.0},
url = {https://cran.r-project.org/package=ntsDatasets}
}
License
GPL (>= 2)
Contributing
Contributions are welcome! Please see our GitHub repository