Two Way Neutrosophic ANOVA

Dealing with neutrosophic data of the form N=D+I(where N is a Neutrosophic number ,D is the determinant part of the number and I is the indeterminacy part) using the neutrosophic two way anova test keeps the type I error low. This algorithm calculates the fisher statistics when we have a neutrosophic data, also tests two hypothesizes, first is to test differences between treatments, and second is to test differences between sectors. For more information see Miari, Mahmoud; Anan, Mohamad Taher; Zeina, Mohamed Bisher(2022) < https://www.americaspg.com/articleinfo/21/show/1058>.


Reference manual

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install.packages("ntranova")

0.0.1 by Mohamad Taher Anan, 2 years ago


Browse source code at https://github.com/cran/ntranova


Authors: Mohamad Taher Anan [aut, cre] , Mohamad Bisher Zeina [aut] , Shaza Zubeadah [aut] , Mahmoud Miari [aut]


Documentation:   PDF Manual  


GPL-3 license



See at CRAN