boot_global: Bootstrapping for global graph measures
Description
This function performs bootstrapping to get group standard error estimates of
a global graph measure (e.g. modularity). It will output a list containing a
data table with standard errors and 95% confidence intervals at each density
for each group, and 2 ggplot objects for plotting. This function is intended
for cortical thickness networks (in which there is only one graph per group),
but will obviously work in other scenarios.
Usage
boot_global(densities, resids, groups, R = 1000, measure = "mod")