Fits a linear model to a (r-by-c) matrix of responses. Includes factorial effects of two factors, with rows of the matrix as one factor with r levels and columns as c levels of another factor. Configurations formed by placing rows into two groups and creating a third grouping factor. Linear models are fit for all b=2^(r-1)-1 possible configurations. The resulting pvalue for group-by-treatment interaction is reported, after Bonferroni correction for multiplicity of configurations.
Jason A. Osborne, Christopher T. Franck and Bongseog Choi Maintainer: Jason A. Osborne <email@example.com>
Franck CT, Nielsen, DM and Osborne, JA. (2013) A Method for Detecting Hidden Additivity in two-factor Unreplicated Experiments, Computational Statistics and Data Analysis, 67:95-104.
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