Last data update: 2014.03.03

R: Inference on low- and high-dimensional multi-group...
HRM-packageR Documentation

Inference on low- and high-dimensional multi-group reapeted-measures designs with unequal covariance matrices.

Description

Tests for main and simple treatment effects, time effects, as well as treatment by time interactions in possibly high-dimensional multi-group repeated measures designs.

Details

Package: HRM
Type: Package
Version: 0.3.5
Date: 2015-05-03
License: GPL-2 | GPL-3

Author(s)

Maintainer: martin.happ@aon.at

References

Happ, M., Harrar, S. W. and Bathke, A. C. (2015), Inference for low- and high-dimensional multigroup repeated measures designs with unequal covariance matrices. Biom. J.. doi: 10.1002/bimj.201500064

Staffen, W., Strobl, N., Zauner, H., Holler, Y., Dobesberger, J. and Trinka, E. (2014). Combining SPECT and EEG analysis for assessment of disorders with amnestic symptoms to enhance accuracy in early diagnostics. Poster A19 Presented at the 11th Annual Meeting of the Austrian Society of Neurology. 26th-29th March 2014, Salzburg, Austria.

Results