Long formulas and complex computations are two disadvantage of the extended ANOVA approach where the observed data are fuzzy rather that crisp; for more details see Parchami et al. (2017) <doi:10.1007/s40747-017-0046-8>. Package 'ANOVA.TFNs' can help to the applied users to overcome these two challenges. The most important functions in package 'ANOVA.TFNs' is FANOVA() which easily draw all membership functions of fuzzy numbers, report observed statistics in fuzzy ANOVA table, calculate the p-value and final result for Fuzzy ANOVA test at the certain significance level.
| Version: | 1.0 |
| Imports: | FuzzyNumbers |
| Published: | 2018-04-05 |
| Author: | Abbas Parchami (Department of Statistics, Faculty of Mathematics and Computer, Shahid Bahonar University of Kerman, Kerman, Iran) |
| Maintainer: | Abbas Parchami <parchami at uk.ac.ir> |
| License: | LGPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | ANOVA.TFNs results |
| Reference manual: | ANOVA.TFNs.pdf |
| Package source: | ANOVA.TFNs_1.0.tar.gz |
| Windows binaries: | r-devel: ANOVA.TFNs_1.0.zip, r-release: ANOVA.TFNs_1.0.zip, r-oldrel: ANOVA.TFNs_1.0.zip |
| OS X binaries: | r-release: ANOVA.TFNs_1.0.tgz, r-oldrel: ANOVA.TFNs_1.0.tgz |
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