A wrapper to run PAC and output subpopulation mutual information networks. Please use the PAC function itself for individual samples or if the MAN step is not needed.
samplePass(sampleIDs, dim_subset, hyperrectangles, num_PACSupop, max.iter,
num_networkEdge)sampleID vector
a string vector of string names to subset the data columns for PAC; set to NULL to use all columns
number of hyperrectangles to learn for each sample
number of subpopulations to output for each sample using PAC
postprocessing kmeans iterations
a threshold on the number of edges to output for each subpopulation mutual information network