Neutrostat: An R package for neutrosophic statistical models

In many practical applications, we consider indeterminate and ambiguous information in data. Traditional statistical methods address data formed by precise knowledge, whereas neutrosophic statistical (NS) approaches analyze data that result from incomplete, vague, imprecise and partial information. Although several extensions of classical methods to neutrosophic data exist, they have not been implemented in an open-source computational R tool. To address this gap, we introduce the R package neutrostat , the first comprehensive package for neutrosophic statistics. The R package neutrostat provides functions for descriptive summaries of neutrosophic measures as well as tools for data visualization and reproducibility of essential statistical characteristics. By making NS methods computationally accessible, neutrostat facilitates the analysis of imprecise data and supports the reproducibility of many essential statistical characteristics of neutrosophic probabilistic models. • First open-source R implementation of statistical methods for neutrosophic data. • Provides computation of neutrosophic measures and simulation of imprecise data. • Bridges statistical computing and neutrosophic logic for modeling uncertain data.