HRM: High-Dimensional Repeated Measures

Methods for testing main and interaction effects in possibly high-dimensional repeated measures in factorial designs. The observations of the subjects are assumed to be multivariate normal. It is possible to use up to 2 whole- and 3 subplot factors.

Version: 0.7.4
Depends: R (≥ 3.4.0), MASS, matrixcalc, plyr, ggplot2
Imports: xtable, reshape2, tcltk
Suggests: RGtk2 (≥ 2.8.0), cairoDevice, RGtk2Extras
Published: 2017-10-27
Author: Martin Happ [aut, cre], Harrar W. Solomon [aut], Arne C. Bathke [aut]
Maintainer: Martin Happ <martin.happ at aon.at>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: HRM citation info
CRAN checks: HRM results

Downloads:

Reference manual: HRM.pdf
Package source: HRM_0.7.4.tar.gz
Windows binaries: r-devel: HRM_0.7.4.zip, r-release: HRM_0.7.4.zip, r-oldrel: HRM_0.5.1.zip
OS X El Capitan binaries: r-release: HRM_0.7.4.tgz
OS X Mavericks binaries: r-oldrel: HRM_0.5.1.tgz
Old sources: HRM archive

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