This function takes bootstrap results and returns a inclusion probability network (edge weights indicate how often a certain edge was included in the model). Note that the plotting method automatically uses a black-white color scheme (as edges are not signed and always positive).
bootInclude(bootobject, verbose = TRUE)A bootnetResult object with the following elements:
The weights matrix of the network
The intercepts
The results of the estimation procedure
A vector with node labels
Number of nodes in the network
Number of persons in the network
Input used, including the result of the default set used
Nonparametric bootstrap results from bootnet
Logical, should progress be reported to the console?
Sacha Epskamp <mail@sachaepskamp.com>
bootnet, estimateNetwork