dfConn (version 0.2.1)

options_boot: Options control - Multivariate linear process bootstrap

Description

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

Usage

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 = "")

Arguments

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.

Value

A list of options

Examples

# NOT RUN {
# 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)
                   
# }