nzc_vis: Non-zero coverage correlation matrix visualization
In dfConn: Dynamic Functional Connectivity Analysis

Visualize non-zero coverage of dynamic functional connectivity modeling estimates.

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nzc_vis(coverage.tbl.list, model_results, roi, ntps.per.scan,
  save_fig = FALSE, output_dir = NULL, alpha = 0.05,
  thres.cond1 = 0.5, thres.cond2 = 0.5, thres.diff = 0.1)

`coverage.tbl.list`	A list with a list of zero-coverage table, can be obtained from `data_summary_coverage`.
`model_results`	data frame, output of either `lmmConn` or `lmmDyn`.
`roi`	integer vector, specify the list of regions of interests.
`ntps.per.scan`	integer, number of timepoints per scan.
`save_fig`	logical, whether to save the figures locally.
`output_dir`	character string, output directory of figures to save.
`alpha`	alpha level of proportion-testing, default is 0.05.
`thres.cond1`	numeric, threshold for cond1 flavor proportion-test, default is 0.5.
`thres.cond2`	numeric, threshold for cond2 flavor proportion-test, default is 0.5.
`thres.diff`	numeric, threshold for proportion-test of difference between condition 1 and condition 2 .

# load sample summary of the linear mixed model output
data(coverage.tbl.list)
data(DynModel_results)
nzc_vis(coverage.tbl.list, DynModel_results$modelDyn_results,
        roi=c(54,191,235), DynModel_results$params$ntp_per_scan, save_fig=FALSE)