HRM: High-Dimensional Repeated Measures

Methods for testing main and interaction effects in possibly high-dimensional parametric or nonparametric repeated measures in factorial designs. The observations of the subjects are assumed to be multivariate normal if using the parametric test. The nonparametric version tests with regard to nonparametric relative effects (based on pseudo-ranks). It is possible to use up to 2 whole- and 3 subplot factors.

Version: 0.9.1
Depends: R (≥ 3.4.0), MASS, matrixcalc, plyr, ggplot2
Imports: xtable, reshape2, tcltk, data.table, pracma
Suggests: RGtk2 (≥ 2.8.0), cairoDevice, RGtk2Extras
Published: 2018-04-23
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_0.9.1.tar.gz
Windows binaries: r-devel: HRM_0.9.1.zip, r-release: HRM_0.9.1.zip, r-oldrel: HRM_0.9.1.zip
OS X binaries: r-release: HRM_0.9.1.tgz, r-oldrel: HRM_0.8.0.tgz
Old sources: HRM archive

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