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bootnet

Bootstrap Methods for Various Network Estimation Routines

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.

Functions (20)

IsingGenerator

Generates a function that simulates data from the Ising model

Binarizes a dataset

bootInclude

Inclusion proportion graph

bootThreshold

Threshold network based on bootstrapped intervals

Bootstrapped network estimation

bootnet-package

Bootstrap Methods for Various Network Estimation Routines

corStability

Correlation stability coefficient

differenceTest

Bootstrapped difference test

estimateNetwork

Estimate a network structure

Generates a GGM small-world network.

ggmGenerator

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

Multiverse plot of bootnet results

netSimulator

Network Estimation Performance

null

Returns NULL

plot.bootnet

Plots bootnet results

plot.netSimulator

netSimulator S3 methods

plotBootnetResult

Plot method for bootnetResult objects

print.bootnet

Print method for bootnet and bootnetResult objects

summary.bootnet

Summarize bootnet results

transformation

Data transformation functions

bootnet

Bootstrap Methods for Various Network Estimation Routines

v1.4.3

GPL-2

Authors

Sacha Epskamp [aut, cre], Eiko I. Fried [ctb]

Initial release

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