RepeatedHighDim package - RDocumentation

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A working copy of RepeatedHighDim. Might not be the same copy as the CRAN version. Please use the CRAN-version: https://cran.r-project.org/web/packages/RepeatedHighDim/index.html This Version is experimental.

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Version

Install

install.packages('RepeatedHighDim')

Monthly Downloads

160

Version

2.5.0

License

GPL (>= 3)

Maintainer

Klaus Jung

Last Published

January 13th, 2026

Functions in RepeatedHighDim (2.5.0)

scTC_trim_effect

scTC_trim_effect: Compare scTrimClust trimming against default Seurat analysis

ProcessedSingle-Cell Data

Summary of RHighDim function

Plots a gemstone to an interactive graphics device

Specifies grid for the calculation of the halfspace location depths

Setup of the start matrix

scTC_bpplot: Post-trim breakpoint heatmap for scTrimClust results

robust_covid_markers_03trim

Robust COVID-19 Markers (03 Trim) Dataset

robust_covid_markers_02trim

Robust COVID-19 Markers (02 Trim) Dataset

robust_covid_markers

Robust COVID-19 Markers Dataset

Calculation of probabilities for binary sequences

scTrimClust: Cluster visualization with alpha hull-based outlier detection

ScTrimDist: Trim extreme cells based on kNN distance within cell types

Genetic algorithm for generating correlated binary data

COVID-19 LogNormalized Marker Effects (Internal)

scTC_eff_log_robust

Robust COVID-19 LogNormalized Effects (Internal)

Detection of global group effect

Diagnostic plot for comparison of two correlation matrices.

COVID-19 Markers Dataset

RepeatedHighDim

RepeatedHighDim Package

GlobTestMissing

Detection of global group effect

Calculates the bag

Calculates the depth median.

Volcano plot of adjusted confidence intervals

Calculates the fence and the loop

Calculation of adjusted confidence intervals

Calculates the halfspace location depth

Check for 'limma' availability

COVID-19 CLR Transformation Marker Effects (Internal)

Simulating correlated binary variables using the algorithm by Qaqish (2003)

robust_covid_data

Robust COVID-19 Dataset

Simulating correlated binary variables using the algorithm by Emrich and Piedmonte (1991)

Calculate lower and upper the bounds for pairwise correlations

scTC_eff_clr_robust

Robust COVID-19 CLR Transformation Effects (Internal)

netRNA:Network meta-analysis for gene expression data