Recently, new tests for main and simple treatment effects, time effects, and treatment by time interactions in possibly high-dimensional multigroup 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 electroencephalography (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).
Digital Object Identifier (DOI)
The research was supported by Austrian Science Fund (FWF) I 2697-N31.
Happ, Martin; Harrar, Solomon W.; and Bathke, Arne C., "High-Dimensional Repeated Measures" (2017). Statistics Faculty Publications. 25.