Division of an ANOVA experiment treatment means into homogeneous distinct groups using the clustering method of Scott & Knott.
| Version: | 1.2-7 |
| Depends: | R (≥ 2.6.0), stats, base |
| Published: | 2018-06-07 |
| Author: | Enio Jelihovschi, José Cláudio Faria and Ivan Bezerra Allaman |
| Maintainer: | Ivan Bezerra Allaman <ivanalaman at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/jcfaria/ScottKnott, http://nbcgib.uesc.br/lec/software/pac-r/scottknott |
| NeedsCompilation: | no |
| Citation: | ScottKnott citation info |
| Materials: | README ChangeLog |
| CRAN checks: | ScottKnott results |
| Reference manual: | ScottKnott.pdf |
| Package source: | ScottKnott_1.2-7.tar.gz |
| Windows binaries: | r-devel: ScottKnott_1.2-7.zip, r-release: ScottKnott_1.2-7.zip, r-oldrel: ScottKnott_1.2-7.zip |
| macOS binaries: | r-release: ScottKnott_1.2-7.tgz, r-oldrel: ScottKnott_1.2-7.tgz |
| Old sources: | ScottKnott archive |
| Reverse imports: | spANOVA |
Please use the canonical form https://CRAN.R-project.org/package=ScottKnott to link to this page.