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.

Version: 1.6
Depends: ggplot2, R (≥ 3.0.0)
Imports: methods, igraph, IsingFit (≥ 0.4), qgraph, dplyr (≥, tidyr, gtools, corpcor, IsingSampler (≥ 0.2.3), mvtnorm, abind, Matrix, snow, mgm (≥ 1.2), NetworkToolbox (≥ 1.1.0), pbapply, networktools, rlang, tibble, tidyselect
Suggests: glasso, GGMncv, BDgraph, graphicalVAR, relaimpo, lavaan, psychTools, huge
Published: 2024-02-21
DOI: 10.32614/CRAN.package.bootnet
Author: Sacha Epskamp [aut, cre], Eiko I. Fried [ctb]
Maintainer: Sacha Epskamp <mail at>
License: GPL-2
NeedsCompilation: no
Citation: bootnet citation info
Materials: README NEWS
In views: Psychometrics
CRAN checks: bootnet results


Reference manual: bootnet.pdf


Package source: bootnet_1.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bootnet_1.6.tgz, r-oldrel (arm64): bootnet_1.6.tgz, r-release (x86_64): bootnet_1.6.tgz, r-oldrel (x86_64): bootnet_1.6.tgz
Old sources: bootnet archive

Reverse dependencies:

Reverse imports: powerly
Reverse suggests: EMgaussian, NetworkComparisonTest


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