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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 [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 |
Reference manual: | ntranova.pdf |
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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These binaries (installable software) and packages are in development.
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