Package: nparMD
Type: Package
Title: Nonparametric Analysis of Multivariate Data in Factorial Designs
Version: 0.2.3
Depends: R (>= 3.1.0)
Imports: matrixStats, matrixcalc, MASS, gtools, Formula, methods, stats
Authors@R: c(person(given = "Maximilian", family = "Kiefel", role = c("cre", "aut"),
                        email = "physik210@hotmail.com"),
             person(given = c("Arne", "C."),
                        family = "Bathke",
                        role = "ctb"))
Maintainer: Maximilian Kiefel <physik210@hotmail.com>
Description: 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>.
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-09-27 08:50:27 UTC; root
Author: Maximilian Kiefel [cre, aut], Arne C. Bathke [ctb]
Repository: https://cran.r-universe.dev
Date/Publication: 2025-10-27 14:37:43 UTC
RemoteUrl: https://github.com/cran/nparMD
RemoteRef: HEAD
RemoteSha: 13fef5562500ac4d4a76bc565fc2f63a5e71dc18