In the journal, SoftwareX a brand new article was released, written by FTI-iASK researcher, Zsolt T. Kosztyán and Zahid Khan. The article’s full title is Neutrostat: An R package for neutrosophic statistical models.

Abstract

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.

Keywords: Neutrosophic logic, Neutrosophic statistics, Neutrosophic distribution, Simulation

The atricle with full text is available HERE.