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
Config/pak/sysreqs: libicu-dev
Repository: https://happma.r-universe.dev
Date/Publication: 2026-08-31 17:22:02 UTC
RemoteUrl: https://github.com/happma/hrm
RemoteRef: HEAD
RemoteSha: de0c87a85afd8b74d0d75dd69678aeb3347e9c16
Packaged: 2026-10-12 10:12:33 UTC; root
Author: Martin Happ [aut, cre] (ORCID: <https://orcid.org/0000-0003-0009-2665>),
  Solomon W. Harrar [aut],
  Arne C. Bathke [aut]