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bootnet (version 1.4.3)

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

3,038

Version

1.4.3

License

GPL-2

Maintainer

Sacha Epskamp

Last Published

June 2nd, 2020

Functions in bootnet (1.4.3)

corStability

Correlation stability coefficient
differenceTest

Bootstrapped difference test
bootnet

Bootstrapped network estimation
anRpackage-package

Bootstrap Methods for Various Network Estimation Routines
plot.bootnetResult

Plot method for bootnetResult objects
print.bootnet

Print method for bootnet and bootnetResult objects
null

Returns NULL
netSimulator

Network Estimation Performance
estimateNetwork

Estimate a network structure
IsingGenerator

Generates a function that simulates data from the Ising model
binarize

Binarizes a dataset
transformation

Data transformation functions
summary.bootnet

Summarize bootnet results
genGGM

Generates a GGM small-world network.
ggmGenerator

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

Multiverse plot of bootnet results
bootInclude

Inclusion proportion graph
bootThreshold

Threshold network based on bootstrapped intervals
plot.bootnet

Plots bootnet results
netSimulator and replicationSimulator methods

netSimulator S3 methods