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bootnet (version 1.0.0)

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

3,408

Version

1.0.0

License

GPL-2

Maintainer

Sacha Epskamp

Last Published

May 4th, 2017

Functions in bootnet (1.0.0)

ggmGenerator

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

Network Estimation Performance
IsingGenerator

Generates a function that simulates data from the Ising model
binarize

Binarizes a dataset
corStability

Correlation stability coefficient
differenceTest

Bootstrapped difference test
anRpackage-package

Bootstrap Methods for Various Network Estimation Routines
bootnet

Bootstrapped network estimation
estimateNetwork

Estimate a network structure
genGGM

Generates a GGM small-world network.
null

Returns NULL
plot.bootnet

Plots bootnet results
print.bootnet

Print method for bootnet and bootnetResult objects
summary.bootnet

Summarize bootnet results
plot.netSimulator

netSimulator S3 methods
plot.bootnetResult

Plot method for bootnetResult objects