GAD: Analysis of variance from general principles

This package analyses 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.


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Reference manual

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install.packages("GAD")

1.1.1 by Leonardo Sandrini-Neto, 9 years ago


Browse source code at https://github.com/cran/GAD


Authors: Leonardo Sandrini-Neto & Mauricio G. Camargo


Documentation:   PDF Manual  


Task views: Design of Experiments (DoE) & Analysis of Experimental Data


GPL (>= 2.0) license


Depends on stats, matrixStats, R.methodsS3


See at CRAN