GAD: Analysis of Variance from General Principles
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 |
| Author: |
Leonardo Sandrini-Neto
 [aut, cre],
Eliandro Gilbert [aut],
Maurício Camargo
[aut] |
| Maintainer: |
Leonardo Sandrini-Neto <leonardosandrini at ufpr.br> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| In views: |
ExperimentalDesign |
| CRAN checks: |
GAD results |
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