GAD: Analysis of Variance from General Principles (original) (raw)
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 [aut, cre], Eliandro Gilbert [aut], Maurício Camargo [aut] |
| Maintainer: | Leonardo Sandrini-Neto |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| In views: | ExperimentalDesign |
| CRAN checks: | GAD results |
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