hdrm: Inference for High-Dimensional Repeated Measures
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>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
Rcpp, stats, withr |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
knitr, testthat (≥ 3.0.0) |
| Published: |
2026-10-10 |
| DOI: |
10.32614/CRAN.package.hdrm (may not be active yet) |
| Author: |
Nils Hichert [aut, cre, cph],
Paavo Sattler 
[aut],
Markus Pauly [ctb],
Edgar Brunner [ctb],
David Ellenberger [ctb] |
| Maintainer: |
Nils Hichert <nils.hichert at tu-dortmund.de> |
| BugReports: |
https://github.com/Schnieboli/hdrm/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/Schnieboli/hdrm |
| NeedsCompilation: |
yes |
| Citation: |
hdrm citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
hdrm results |
Documentation:
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