Package: HRM
Version: 1.3.0
Date: 2026-08-31
Title: High-Dimensional Repeated Measures
Authors@R: c(person("Martin", "Happ", role = c("aut", "cre"),
                      email = "statistics@happ.co.at",
                      comment = c(ORCID = "0000-0003-0009-2665")),
	      person("Solomon W.", "Harrar", role = "aut"),
	      person("Arne C.", "Bathke", role = "aut"))
Maintainer: Martin Happ <statistics@happ.co.at>
LazyData: true
Depends: R (>= 4.2.0)
Imports: ggplot2, matrixcalc, plyr, data.table, doBy, mvtnorm, Rcpp (>=
        0.12.16), pseudorank (>= 0.3.7)
Suggests: MASS, testthat
LinkingTo: Rcpp
Description: Methods for testing main and interaction effects in possibly
    high-dimensional parametric or nonparametric repeated measures in factorial designs.
    The observations of the subjects are assumed to be multivariate normal if using the parametric test.
    The nonparametric version tests with regard to nonparametric relative effects (based on pseudo-ranks).
    It is possible to use up to 2 whole- and 3 subplot factors.
    See Happ et al. (2017, <doi:10.1080/15598608.2017.1307792>) for details.
Encoding: UTF-8
License: GPL-2 | GPL-3
RoxygenNote: 7.3.2
URL: https://github.com/happma/HRM
BugReports: https://github.com/happma/HRM/issues
NeedsCompilation: yes
Packaged: 2026-08-31 17:44:29 UTC; happma
Author: Martin Happ [aut, cre] (ORCID: <https://orcid.org/0000-0003-0009-2665>),
  Solomon W. Harrar [aut],
  Arne C. Bathke [aut]
Repository: CRAN
Date/Publication: 2026-09-11 14:00:02 UTC
