nparMD: Nonparametric Analysis of Multivariate Data in Factorial Designs
Analysis of multivariate data with two-way completely randomized
factorial design. The analysis is based on fully nonparametric, rank-based
methods and uses test statistics based on the Dempster's ANOVA, Wilk's Lambda,
Lawley-Hotelling and Bartlett-Nanda-Pillai criteria. The multivariate
response is allowed to be ordinal, quantitative, binary or a mixture of the
different variable types. The package offers two functions performing the
analysis, one for small and the other for large sample sizes. The underlying methodology
is largely described in Bathke and Harrar (2016) <doi:10.1007/978-3-319-39065-9_7> and in
Munzel and Brunner (2000) <doi:10.1016/S0378-3758(99)00212-8> and in
Kiefel and Bathke (2022) <doi:10.1515/stat-2022-0112>.
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