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. (2019) .


Reference manual

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install.packages("MANOVA.RM")

0.6.0 by Sarah Friedrich, a month ago


https://github.com/smn74/MANOVA.RM


Report a bug at https://github.com/smn74/MANOVA.RM/issues


Browse source code at https://github.com/cran/MANOVA.RM


Authors: Sarah Friedrich [aut, cre] , Frank Konietschke [aut] , Markus Pauly [aut] , Mona Modrzik [aut]


Documentation:   PDF Manual  


GPL-2 | GPL-3 license


Imports plyr, MASS, Matrix, magic, plotrix, parallel, methods, ellipse, multcomp, mvtnorm, data.table

Suggests nparLD, knitr, rmarkdown, HSAUR3, tidyr, ggplot2, GFD, testthat


Imported by CovCorTest.


See at CRAN