ntranova: 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>.

Version: 0.0.1
Published: 2024-04-10
DOI: 10.32614/CRAN.package.ntranova
Author: Mohamad Taher Anan ORCID iD [aut, cre], Mohamad Bisher Zeina [aut], Shaza Zubeadah [aut], Mahmoud Miari [aut]
Maintainer: Mohamad Taher Anan <mtanan200988 at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: ntranova results

Documentation:

Reference manual: ntranova.html , ntranova.pdf

Downloads:

Package source: ntranova_0.0.1.tar.gz
Windows binaries: r-devel: ntranova_0.0.1.zip, r-release: ntranova_0.0.1.zip, r-oldrel: ntranova_0.0.1.zip
macOS binaries: r-release (arm64): ntranova_0.0.1.tgz, r-oldrel (arm64): ntranova_0.0.1.tgz, r-release (x86_64): ntranova_0.0.1.tgz, r-oldrel (x86_64): ntranova_0.0.1.tgz

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