Package: hdrm 1.0.0
Nils Hichert
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>.
Authors:
hdrm_1.0.0.tar.gz
hdrm_1.0.0.zip(r-4.7-x86_64)hdrm_1.0.0.zip(r-4.7-arm64)hdrm_1.0.0.zip(r-4.6-x86_64)hdrm_1.0.0.zip(r-4.6-arm64)
hdrm_1.0.0.tar.gz(r-4.7-arm64)hdrm_1.0.0.tar.gz(r-4.7-x86_64)hdrm_1.0.0.tar.gz(r-4.6-arm64)hdrm_1.0.0.tar.gz(r-4.6-x86_64)
hdrm_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
hdrm/json (API)
| # Install 'hdrm' in R: |
| install.packages('hdrm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/schnieboli/hdrm/issues
- birthrates - Total fertility rates in the German federal states, 1990-2023
- EEG - EEG measurements from 160 subjects
Last updated from:1eea8adc24. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 114 | ||
| linux-devel-x86_64 | OK | 127 | ||
| source / vignettes | OK | 163 | ||
| linux-release-arm64 | OK | 112 | ||
| linux-release-x86_64 | OK | 136 | ||
| windows-devel-arm64 | OK | 249 | ||
| windows-devel-x86_64 | OK | 164 | ||
| windows-release-arm64 | OK | 205 | ||
| windows-release-x86_64 | OK | 133 | ||
| wasm-release | OK | 106 |
Exports:hdrm_groupedhdrm_single
Dependencies:RcppRcppArmadillowithr
