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.

RGtk2 (>= 2.20.31), knitr, rmarkdown, HSAUR, tidyr

RGtk2 (>= 2.20.31), knitr, rmarkdown, HSAUR, tidyr, GFD

RGtk2 (>= 2.20.31), knitr, rmarkdown, HSAUR, tidyr, GFD,
testthat

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. Furthermore, post-hoc comparisons
are provided for the multivariate analyses.
Friedrich, S., Konietschke, F. and Pauly, M. (2018) <arXiv:1801.08002>.
plyr (>= 1.8.3), MASS (>= 7.3-43), Matrix (>= 1.2-2), magic
(>= 1.5-6), plotrix (>= 3.5-12), parallel, methods, ellipse,
multcomp

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>.
plyr (>= 1.8.3), MASS (>= 7.3-43), Matrix (>= 1.2-2), magic
(>= 1.5-6), plotrix (>= 3.5-12), parallel, methods, ellipse,
multcomp, data.table
RGtk2 (>= 2.20.31), knitr, rmarkdown, HSAUR, tidyr, GFD,
testthat, tidyverse

RGtk2 (>= 2.20.31), knitr, rmarkdown, HSAUR3, tidyr(>=
1.0.0), ggplot2, GFD, testthat