# Methods for High-Dimensional Repeated Measures Data

## Documentation for package ‘RepeatedHighDim’ version 2.5.0

- DESCRIPTION file
- Package README

## Help Pages

RepeatedHighDim-package | RepeatedHighDim Package
bag | Calculates the bag
depmed | Calculates the depth median.
fc_ci | Calculation of adjusted confidence intervals
fc_plot | Volcano plot of adjusted confidence intervals
GA_diagplot | Diagnostic plot for comparison of two correlation matrices.
gem | Plots a gemstone to an interactive graphics device
GlobTestMissing | Detection of global group effect
gridfun | Specifies grid for the calculation of the halfspace location depths
hldepth | Calculates the halfspace location depth
iter_matrix | Genetic algorithm for generating correlated binary data
loop | Calculates the fence and the loop
netRNA | netRNA:Network meta-analysis for gene expression data
RepeatedHighDim | RepeatedHighDim Package
RHighDim | Detection of global group effect
rho_bounds | Calculate lower and upper the bounds for pairwise correlations
rmvbinary_EP | Simulating correlated binary variables using the algorithm by Emrich and Piedmonte (1991)
rmvbinary_QA | Simulating correlated binary variables using the algorithm by Qaqish (2003)
scTC_bpplot | scTC_bpplot: Post-trim breakpoint heatmap for scTrimClust results
scTC_trim_effect | scTC_trim_effect: Compare scTrimClust trimming against default Seurat analysis
scTrimClust | scTrimClust: Cluster visualization with alpha hull-based outlier detection
scTrimDist | ScTrimDist: Trim extreme cells based on kNN distance within cell types
sequence_probs | Calculation of probabilities for binary sequences
start_matrix | Setup of the start matrix
summary_RHD | Summary of RHighDim function