HRM: Inference on low- and high-dimensional multi-group...
In HRM: High-Dimensional Repeated Measures
Description
Details
Author(s)
References
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. The groups are allowed to have different variance-covariance matrices but the observations must follow a multivariate normal distribution.
Details
Package: HRM
Type: Package
Version: 1.0.2
Date: 2018-10-16
License: GPL-2 | GPL-3
Author(s)
Maintainer: martin.happ@aon.at
References
Happ, M., Harrar, S. W. and Bathke, A. C. (2016), Inference for low- and high-dimensional multigroup repeated measures designs with unequal covariance matrices. Biom. J., 58: 810-830. doi: 10.1002/bimj.201500064
Happ, M., Harrar, S. W. and Bathke, A. C. (2017), High-dimensional Repeated Measures. Journal of Statistical Theory and Practice. doi: 10.1080/15598608.2017.1307792
Staffen, W., Strobl, N., Zauner, H., Hoeller, 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.
HRM documentation built on Feb. 6, 2020, 5:15 p.m.
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Description Details Author(s) References
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. The groups are allowed to have different variance-covariance matrices but the observations must follow a multivariate normal distribution.
Details
| Package: | HRM |
| Type: | Package |
| Version: | 1.0.2 |
| Date: | 2018-10-16 |
| License: | GPL-2 | GPL-3 |
Author(s)
Maintainer: martin.happ@aon.at
References
Happ, M., Harrar, S. W. and Bathke, A. C. (2016), Inference for low- and high-dimensional multigroup repeated measures designs with unequal covariance matrices. Biom. J., 58: 810-830. doi: 10.1002/bimj.201500064
Happ, M., Harrar, S. W. and Bathke, A. C. (2017), High-dimensional Repeated Measures. Journal of Statistical Theory and Practice. doi: 10.1080/15598608.2017.1307792
Staffen, W., Strobl, N., Zauner, H., Hoeller, 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.
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