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
DOI:	10.32614/CRAN.package.GAD
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

Documentation:

Reference manual:

GAD.pdf

Downloads:

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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