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.
- Version2.0
- R version≥ 3.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release05/01/2024
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Team
Leonardo Sandrini-Neto
Eliandro Gilbert
Show author detailsRolesAuthorMaurício Camargo
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- Imports1 package