bootnet: Bootstrap Methods for Various Network Estimation Routines

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 'qgraph', 'IsingFit', 'IsingSampler', 'glasso', 'huge' and 'parcor' packages.

Version: 1.0.1
Depends: ggplot2, R (≥ 3.0.0)
Imports: methods, igraph, IsingFit, qgraph, dplyr (≥ 0.3.0.2), tidyr, gtools, corpcor, IsingSampler, mvtnorm, abind, Matrix, parallel, huge, parcor, mgm, relaimpo
Suggests: psych
Published: 2017-09-06
Author: Sacha Epskamp and Eiko I. Fried
Maintainer: Sacha Epskamp <mail at sachaepskamp.com>
License: GPL-2
NeedsCompilation: no
Citation: bootnet citation info
Materials: NEWS
CRAN checks: bootnet results

Downloads:

Reference manual: bootnet.pdf
Package source: bootnet_1.0.1.tar.gz
Windows binaries: r-devel: bootnet_1.0.1.zip, r-release: bootnet_1.0.1.zip, r-oldrel: bootnet_1.0.1.zip
OS X El Capitan binaries: r-release: bootnet_1.0.1.tgz
OS X Mavericks binaries: r-oldrel: bootnet_1.0.1.tgz
Old sources: bootnet archive

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