Analysis of 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. For those terms with no denominator in the F-ratio calculation, pooled mean squares and quasi F-ratios are provided. Magnitute of effects are assessed by components of variation.
| Version: | 2.0 |
| Depends: | R (≥ 3.0) |
| Imports: | matrixStats |
| Published: | 2024-05-01 |
| DOI: | 10.32614/CRAN.package.GAD |
| Author: | Leonardo Sandrini-Neto
|
| Maintainer: | Leonardo Sandrini-Neto <leonardosandrini at ufpr.br> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| In views: | ExperimentalDesign |
| CRAN checks: | GAD results |
| Reference manual: | GAD.html , GAD.pdf |
| Package source: | GAD_2.0.tar.gz |
| Windows binaries: | r-devel: GAD_2.0.zip, r-release: GAD_2.0.zip, r-oldrel: GAD_2.0.zip |
| macOS binaries: | r-release (arm64): GAD_2.0.tgz, r-oldrel (arm64): GAD_2.0.tgz, r-release (x86_64): GAD_2.0.tgz, r-oldrel (x86_64): GAD_2.0.tgz |
| Old sources: | GAD archive |
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