MANOVA.RM: Resampling-Based Analysis of Multivariate Data and Repeated Measures Designs

Implemented are various tests for semi-parametric repeated measures and general MANOVA designs that do neither assume multivariate normality nor covariance homogeneity, i.e., the procedures are applicable for a wide range of general multivariate factorial designs. In addition to asymptotic inference methods, novel bootstrap and permutation approaches are implemented as well. These provide more accurate results in case of small to moderate sample sizes. Furthermore, post-hoc comparisons are provided for the multivariate analyses. Friedrich, S., Konietschke, F. and Pauly, M. (2018) <arXiv:1801.08002>.

Version: 0.4.2
Depends: R (≥ 3.4.0)
Imports: plyr (≥ 1.8.4), MASS (≥ 7.3-51), Matrix (≥ 1.2-17), magic (≥ 1.5-9), plotrix (≥ 3.5-12), parallel, methods, ellipse, multcomp, data.table (≥ 1.12.6)
Suggests: RGtk2 (≥ 2.20.31), knitr, rmarkdown, HSAUR3, tidyr (≥ 1.0.0), ggplot2, GFD, testthat
Published: 2020-10-13
Author: Sarah Friedrich, Frank Konietschke, Markus Pauly
Maintainer: Sarah Friedrich <sarah.friedrich at>
License: GPL-2 | GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: MANOVA.RM results


Reference manual: MANOVA.RM.pdf
Vignettes: MANOVA.RM
Package source: MANOVA.RM_0.4.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: MANOVA.RM_0.4.2.tgz, r-oldrel: MANOVA.RM_0.4.2.tgz
Old sources: MANOVA.RM archive


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