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: 1.5
Depends: ggplot2, R (≥ 3.0.0)
Imports: methods, igraph, IsingFit, qgraph, dplyr (≥, tidyr, gtools, corpcor, IsingSampler, mvtnorm, abind, Matrix, snow, mgm (≥ 1.2), NetworkToolbox (≥ 1.1.0), pbapply, networktools, rlang, tibble
Suggests: glasso, GGMncv, BDgraph, graphicalVAR, relaimpo, lavaan, psychTools, huge
Published: 2021-10-25
Author: Sacha Epskamp [aut, cre], Eiko I. Fried [ctb]
Maintainer: Sacha Epskamp <mail at>
License: GPL-2
NeedsCompilation: no
Citation: bootnet citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: bootnet results


Reference manual: bootnet.pdf


Package source: bootnet_1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bootnet_1.4.3.tgz, r-release (x86_64): bootnet_1.4.3.tgz, r-oldrel: bootnet_1.4.3.tgz
Old sources: bootnet archive

Reverse dependencies:

Reverse imports: powerly


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