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bootnet (version 1.2)

Bootstrap Methods for Various Network Estimation Routines

Description

Bootstrap methods to assess accuracy and stability of estimated network structures and centrality indices. Allows for flexible specification of any undirected network estimation procedure in R, and offers default sets for 'qgraph', 'IsingFit', 'IsingSampler', 'glasso', 'huge' and 'parcor' packages.

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Version

Install

install.packages('bootnet')

Monthly Downloads

5,547

Version

1.2

License

GPL-2

Maintainer

Sacha Epskamp

Last Published

January 24th, 2019

Functions in bootnet (1.2)

print.bootnet

Print method for bootnet and bootnetResult objects
ggmGenerator

Generates a function that simulates data from the Gaussian graphical model (GGM)
null

Returns NULL
plot.bootnet

Plots bootnet results
netSimulator

Network Estimation Performance
genGGM

Generates a GGM small-world network.
plot.bootnetResult

Plot method for bootnetResult objects
netSimulator and replicationSimulator methods

netSimulator S3 methods
summary.bootnet

Summarize bootnet results
bootInclude

Inclusion proportion graph
IsingGenerator

Generates a function that simulates data from the Ising model
bootThreshold

Threshold network based on bootstrapped intervals
binarize

Binarizes a dataset
anRpackage-package

Bootstrap Methods for Various Network Estimation Routines
bootnet

Bootstrapped network estimation
corStability

Correlation stability coefficient
differenceTest

Bootstrapped difference test
estimateNetwork

Estimate a network structure