qgraph: Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation

Can be used to visualize data as networks as well as provides an interface for visualizing weighted graphical models.

Version: 1.4.4
Depends: R (≥ 3.0.0)
Imports: methods, grDevices, psych, ellipse, lavaan, sem, plyr, Hmisc, igraph, jpeg, png, colorspace, Matrix, sna, corpcor, reshape2, ggplot2, glasso, huge, fdrtool, d3Network, ggm, gtools, BDgraph
Suggests: RSVGTipsDevice, sendplot
Published: 2017-09-02
Author: Sacha Epskamp, Giulio Costantini, Jonas Haslbeck, Angelique O. J. Cramer, Lourens J. Waldorp, Verena D. Schmittmann and Denny Borsboom
Maintainer: Sacha Epskamp <mail at sachaepskamp.com>
License: GPL-2
Copyright: see file COPYRIGHTS
URL: http://sachaepskamp.com/qgraph
NeedsCompilation: yes
Citation: qgraph citation info
Materials: README NEWS
In views: Psychometrics
CRAN checks: qgraph results


Reference manual: qgraph.pdf
Package source: qgraph_1.4.4.tar.gz
Windows binaries: r-devel: qgraph_1.4.4.zip, r-release: qgraph_1.4.4.zip, r-oldrel: qgraph_1.4.4.zip
OS X El Capitan binaries: r-release: qgraph_1.4.4.tgz
OS X Mavericks binaries: r-oldrel: qgraph_1.4.4.tgz
Old sources: qgraph archive

Reverse dependencies:

Reverse imports: bootnet, diveRsity, elasticIsing, EstimateGroupNetwork, gimme, graphicalVAR, IATscores, IsingFit, lvnet, mlVAR, NetworkComparisonTest, NetworkToolbox, networktools, pompom, psycho, semPlot, SparseLearner, veccompare
Reverse suggests: bmlm, RcmdrPlugin.pointG, RSA


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