# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "HRM" in publications use:' type: software license: - GPL-2.0-only - GPL-3.0-only title: 'HRM: High-Dimensional Repeated Measures' version: 1.3.0 doi: 10.1080/15598608.2017.1307792 identifiers: - type: doi value: 10.32614/CRAN.package.HRM abstract: 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, ) for details. authors: - family-names: Happ given-names: Martin email: statistics@happ.co.at orcid: https://orcid.org/0000-0003-0009-2665 - family-names: Harrar given-names: Solomon W. - family-names: Bathke given-names: Arne C. preferred-citation: type: article title: High-dimensional Repeated Measures. authors: - family-names: Happ given-names: Martin email: statistics@happ.co.at orcid: https://orcid.org/0000-0003-0009-2665 - family-names: Harrar given-names: Solomon W. - family-names: Bathke given-names: Arne C. journal: Journal of Statistical Theory and Practice year: '2017' volume: '11' issue: '3' url: https://www.tandfonline.com/doi/full/10.1080/15598608.2017.1307792 doi: 10.1080/15598608.2017.1307792 start: 468-477 repository: https://happma.r-universe.dev repository-code: https://github.com/happma/HRM commit: de0c87a85afd8b74d0d75dd69678aeb3347e9c16 url: https://github.com/happma/HRM date-released: '2026-08-31' contact: - family-names: Happ given-names: Martin email: statistics@happ.co.at orcid: https://orcid.org/0000-0003-0009-2665