RepeatedHighDim: Methods for High-Dimensional Repeated Measures Data (original) (raw)
A toolkit for the analysis of high-dimensional repeated measurements, providing functions for outlier detection, differential expression analysis, gene-set tests, and binary random data generation.
| Version: | 2.4.0 |
|---|---|
| Depends: | R (≥ 3.5) |
| Imports: | alphahull, circlize, ComplexHeatmap, ddalpha, geometry, ggplot2, graphics, grDevices, MASS, mvtnorm, netmeta, nlme, patchwork, progress, RColorBrewer, rgl, rlang, scales, Seurat, SeuratObject, stats, utils |
| Suggests: | BiocManager, invgamma, limma |
| Published: | 2025-04-14 |
| DOI: | 10.32614/CRAN.package.RepeatedHighDim |
| Author: | Klaus Jung [aut, cre], Jochen Kruppa [aut], Sergej Ruff [aut] |
| Maintainer: | Klaus Jung <klaus.jung at tiho-hannover.de> |
| License: | GPL (≥ 3) |
| URL: | https://software.klausjung-lab.de |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | RepeatedHighDim results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=RepeatedHighDimto link to this page.