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: 0.7.1
Depends: R (≥ 3.4.0), MASS, matrixcalc, plyr, ggplot2
Imports: xtable, reshape2, tcltk, cairoDevice, RGtk2Extras
Suggests: RGtk2 (≥ 2.8.0)
Published: 2017-08-13
Author: Martin Happ [aut, cre], Harrar W. Solomon [aut], Arne C. Bathke [aut]
Maintainer: Martin Happ <martin.happ at>
License: GPL-2 | GPL-3
NeedsCompilation: no
Citation: HRM citation info
CRAN checks: HRM results


Reference manual: HRM.pdf
Package source: HRM_0.7.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: HRM_0.5.1.tgz
OS X Mavericks binaries: r-oldrel: HRM_0.5.1.tgz
Old sources: HRM archive


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