This package analyses complex ANOVA models with any combination of orthogonal/nested and fixed/random factors, as described by Underwood (1997). There are two restrictions: (i) data must be balanced; (ii) fixed nested factors are not allowed. Homogeneity of variances is checked using Cochran's C test and 'a posteriori' comparisons of means are done using Student-Newman-Keuls (SNK) procedure.
| Version: | 1.1.1 |
| Depends: | R (≥ 2.7.0), stats, matrixStats, R.methodsS3 |
| Published: | 2012-10-29 |
| Author: | Leonardo Sandrini-Neto & Mauricio G. Camargo |
| Maintainer: | Leonardo Sandrini-Neto <leonardosandrini at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)] |
| NeedsCompilation: | no |
| Citation: | GAD citation info |
| In views: | ExperimentalDesign |
| CRAN checks: | GAD results |
| Reference manual: | GAD.pdf |
| Package source: | GAD_1.1.1.tar.gz |
| Windows binaries: | r-devel: GAD_1.1.1.zip, r-release: GAD_1.1.1.zip, r-oldrel: GAD_1.1.1.zip |
| macOS binaries: | r-release (arm64): GAD_1.1.1.tgz, r-oldrel (arm64): GAD_1.1.1.tgz, r-release (x86_64): GAD_1.1.1.tgz, r-oldrel (x86_64): GAD_1.1.1.tgz |
| Old sources: | GAD archive |
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