Bootstrap Methods for Various Network Estimation Routines
Binarizes a dataset
Inclusion proportion graph
Bootstrap Methods for Various Network Estimation Routines
Bootstrapped network estimation
Threshold network based on bootstrapped intervals
Correlation stability coefficient
Bootstrapped difference test
Estimate a network structure
Generates a GGM small-world network.
Generates a function that simulates data from the Gaussian graphical m...
Generates a function that simulates data from the Ising model
Multiverse plot of bootnet results
Network Estimation Performance
Returns NULL
Plots bootnet results
netSimulator S3 methods
Plot method for bootnetResult objects
Print method for bootnet and bootnetResult objects
Summarize bootnet results
Data transformation functions
Bootstrap methods to assess accuracy and stability of estimated network structures and centrality indices <doi:10.3758/s13428-017-0862-1>. Allows for flexible specification of any undirected network estimation procedure in R, and offers default sets for various estimation routines.