High-dimensional repeated measures
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Recently, new tests for main and simple treatment effects, time effects, and treatment by time interactions in possibly high-dimensional multi-group repeated-measures designs with unequal covariance matrices have been proposed. Technical details for using more than one between-subject and more than one within-subject factor are presented in this article. Furthermore, application to electroencephalo-graphy (EEG) data of a neurological study with two whole-plot factors (diagnosis and sex) and two subplot factors (variable and region) is shown with the R package HRM (high-dimensional repeated measures).
KeywordsAnalysis of variance factorial design heteroscedasticity profile analysis R package
AMS Subject Classification62F03
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