RepeatedHighDim: Methods for High-Dimensional Repeated Measures Data

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:

Reference manual: RepeatedHighDim.pdf

Downloads:

Package source: RepeatedHighDim_2.4.0.tar.gz
Windows binaries: r-devel: RepeatedHighDim_2.4.0.zip, r-release: RepeatedHighDim_2.3.0.zip, r-oldrel: RepeatedHighDim_2.3.0.zip
macOS binaries: r-release (arm64): RepeatedHighDim_2.4.0.tgz, r-oldrel (arm64): RepeatedHighDim_2.4.0.tgz, r-release (x86_64): RepeatedHighDim_2.4.0.tgz, r-oldrel (x86_64): RepeatedHighDim_2.4.0.tgz
Old sources: RepeatedHighDim archive

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