GAD (1.1.1)

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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.

Maintainer: Leonardo Sandrini-Neto
Author(s): Leonardo Sandrini-Neto & Mauricio G. Camargo

License: GPL (>= 2.0)

Uses: matrixStats, R.methodsS3

Released about 9 years ago.

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