Resampling-Based Analysis of Multivariate Data and Repeated Measures Designs
The conf.reg() function calculates confidence regions for contrasts in...
Tests for Multivariate Data in Semi-Parametric Factorial Designs
Tests for Multivariate Data in Semi-Parametric Factorial Designs
MANOVA.RM: A package for calculating test statistics and their resampl...
Tests for Repeated Measures in Multivariate Semi-Parametric Factorial ...
Plot function for an RM object
Display MANOVA object
Display an RM object
Tests for Repeated Measures in Semi-Parametric Factorial Designs
Multivariate post-hoc comparisons and simultaneous confidence interval...
Summarizing a MANOVA object
Summarizing an RM object
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) <doi:10.32614/RJ-2019-051>.