options_boot: Options control - Multivariate linear process bootstrap
In dfConn: Dynamic Functional Connectivity Analysis

Description Usage Arguments Value Examples

Options control for running multivariate linear Multivariate Linear Process Bootstrap (MLPB) method.

options_boot(input_list, output_dir = NULL, rois = NULL,
  subset = NULL, timepoints = NULL, window_size = 20,
  number_of_intervals = 1, boot_rep = 250, n_boot = 1, cores = 1,
  save_file_suffix = "")

`input_list,`	list of matrices, subject-specific time series data.
`output_dir`	character string, output directory for bootstrap samples.
`rois`	vector of integers, specify the list of regions of interests
`subset`	vector of character, which subject to run, specify the index in `dataList`, for example, c(1, 2, ...)
`timepoints`	integer, number of timepoints in total
`window_size`	integer, window size for sliding window technique
`number_of_intervals`	integer, number of intervals in sliding window technique
`boot_rep`	integer, bootstrapping repetition times
`n_boot`	integer, number of bootstrap sample to be generated in MLPB
`cores`	integer, number of cores to register for parallel execution, if set to 1 a sequential job will be run
`save_file_suffix`	character, suffix of output files, treated as a labels.

A list of options

# Summarize the output of linear mixed effect model for dynamic functional connectivity
data(fMRI_dataList)
op <- options_boot(input_list = fMRI_dataList,
                   output_dir = NULL,
                   rois = c(1,2,3),
                   window_size = 10, 
                   save_file_suffix = "",
                   number_of_interval = 1,
                   boot_rep = 250,
                   n_boot = 1,
                   cores = 1)