GAD: Analysis of variance from general principles CRAN Task View: ExperimentalDesign (http://CRAN.R-project.org/view=ExperimentalDesign) 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. Software Depends: R (>= 2.7.0), stats, matrixStats, R.methodsS3 Leonardo Sandrini-Neto <leonardosandrini@gmail.com> Leonardo Sandrini-Neto & Mauricio G. Camargo GPL (>= 2.0) 2011-02-21 application/tgz http://CRAN.R-project.org/package=GAD