Package: hdrm
Title: Inference for High-Dimensional Repeated Measures
Version: 1.0.0
Authors@R: c(
    person(
      "Nils", "Hichert",
      email = "nils.hichert@tu-dortmund.de",
      role = c("aut", "cre", "cph")
    ),
    person(
      "Paavo", "Sattler",
      email = "paavo.sattler@tu-dortmund.de",
      role = "aut",
      comment = c(ORCID = "0000-0001-8731-0893")
    ),
    person("Markus", "Pauly", role = "ctb"),
    person("Edgar", "Brunner", role = "ctb"),
    person("David", "Ellenberger", role = "ctb")
    )
Description: Provides one-group and multiple-group tests for
        expectation vectors in high-dimensional repeated-measures
        designs. Hypotheses can be specified through projection
        matrices or by selecting predefined effects. The multiple-group
        procedures cover heterogeneous and equal covariance matrices.
        Centered and standardized chi-square approximations are
        combined with exact or subsampling-based trace estimators. The
        functions return p-values, test statistics, estimated degrees
        of freedom, and convergence parameters. For further details,
        see Sattler and Hichert (2025) <doi:10.48550/arXiv.2512.17478>.
URL: https://github.com/Schnieboli/hdrm
BugReports: https://github.com/Schnieboli/hdrm/issues
License: GPL (>= 3)
Encoding: UTF-8
Suggests: knitr, testthat (>= 3.0.0)
Config/testthat/edition: 3
Depends: R (>= 3.5.0)
LazyData: true
Imports: Rcpp, stats, withr
LinkingTo: Rcpp, RcppArmadillo
Config/roxygen2/version: 8.1.0
NeedsCompilation: yes
Packaged: 2026-10-10 14:07:55 UTC; root
Author: Nils Hichert [aut, cre, cph], Paavo Sattler [aut] (ORCID:
        <https://orcid.org/0000-0001-8731-0893>), Markus Pauly [ctb],
        Edgar Brunner [ctb], David Ellenberger [ctb]
Maintainer: Nils Hichert <nils.hichert@tu-dortmund.de>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-10 13:52:38 UTC
RemoteUrl: https://github.com/cran/hdrm
RemoteRef: HEAD
RemoteSha: 1eea8adc2411e388245bf20f76886272d93b850e