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).
|Number of pages||10|
|Journal||Journal of Statistical Theory and Practice|
|State||Published - Jul 3 2017|
Bibliographical noteFunding Information:
The research was supported by Austrian Science Fund (FWF) I 2697-N31.
© 2017 Martin Happ, Solomon W. Harrar, and Arne C. Bathke. Published with license by Taylor & Francis.
- Analysis of variance
- R package
- factorial design
- profile analysis
ASJC Scopus subject areas
- Statistics and Probability