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bootnet (version 1.5)

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 various estimation routines.

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Version

Install

install.packages('bootnet')

Monthly Downloads

8,641

Version

1.5

License

GPL-2

Maintainer

Sacha Epskamp

Last Published

October 25th, 2021

Functions in bootnet (1.5)

bootThreshold

Threshold network based on bootstrapped intervals
binarize

Binarizes a dataset
genGGM

Generates a GGM small-world network.
differenceTest

Bootstrapped difference test
bootInclude

Inclusion proportion graph
corStability

Correlation stability coefficient
IsingGenerator

Generates a function that simulates data from the Ising model
anRpackage-package

Bootstrap Methods for Various Network Estimation Routines
estimateNetwork

Estimate a network structure
netSimulator

Network Estimation Performance
summary.bootnet

Summarize bootnet results
bootnet

Bootstrapped network estimation
null

Returns NULL
print.bootnet

Print method for bootnet and bootnetResult objects
plot.bootnetResult

Plot method for bootnetResult objects
ggmGenerator

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

Multiverse plot of bootnet results
netSimulator and replicationSimulator methods

netSimulator S3 methods
plot.bootnet

Plots bootnet results
transformation

Data transformation functions