R Package

This R package provides correlation-based penalty estimators for both linear and logistic regression models by implementing a new regularization method.

This R package provides a collection of datasets related to neutrosophic sets for statistical modeling and analysis.

An R package for statistical inference on synthetic datasets generated using plug-in sampling methods, providing robust analytical tools for researchers working with privacy-preserving synthetic data.

This R package is statistical testing of independence between neutrosophic variables. It extends classical independence tests to handle uncertainty, indeterminacy, and imprecision inherent in neutrosophic data.

This R package provides a variety of improved shrinkage estimators in the area of statistical analysis: unrestricted; restricted; preliminary test; improved preliminary test; Stein; and positive-rule Stein estimations.

This R package computes the pdf, cdf, quantile function, and generates random numbers for neutrosophic distributions. This family of distributions has been developed by different authors in recent years.