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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "hdrm" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'hdrm: Inference for High-Dimensional Repeated Measures'
version: 1.0.0
doi: 10.48550/arXiv.2512.17478
identifiers:
- type: doi
  value: 10.32614/CRAN.package.hdrm
abstract: 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) <https://doi.org/10.48550/arXiv.2512.17478>.
authors:
- family-names: Hichert
  given-names: Nils
  email: nils.hichert@tu-dortmund.de
- family-names: Sattler
  given-names: Paavo
  email: paavo.sattler@tu-dortmund.de
  orcid: https://orcid.org/0000-0001-8731-0893
preferred-citation:
  type: article
  title: Inference for high dimensional repeated measure designs with the R package
    hdrm
  authors:
  - family-names: Sattler
    given-names: Paavo
    orcid: https://orcid.org/0000-0001-8731-0893
    email: paavo.sattler@tu-dortmund.de
  - family-names: Hichert
    given-names: Nils
    email: nils.hichert@tu-dortmund.de
  year: '2025'
  journal: arXiv
  doi: 10.48550/arXiv.2512.17478
  url: https://arxiv.org/abs/2512.17478
repository: https://schnieboli.r-universe.dev
repository-code: https://github.com/Schnieboli/hdrm
commit: 26c040a00337feb8559b5138fb70a6bafdb923ce
url: https://github.com/Schnieboli/hdrm
date-released: '2026-10-10'
contact:
- family-names: Hichert
  given-names: Nils
  email: nils.hichert@tu-dortmund.de
references:
- type: generic
  title: 'hdrm: Inference procedures for high-dimensional repeated-measures data'
  authors:
  - family-names: Hichert
    given-names: Nils
  - family-names: Sattler
    given-names: Paavo
  year: '2026'
  url: https://github.com/Schnieboli/hdrm
  version: 1.0.0