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

The qgraph package can be used to visualize data as networks as well as provides an interface for visualizing weighted graphical models.

Version: 1.3.2
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
Suggests: RSVGTipsDevice, sendplot
Published: 2016-01-19
Author: Sacha Epskamp, Giulio Costantini, 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_1.3.2.tar.gz
Windows binaries: r-devel: qgraph_1.3.2.zip, r-release: qgraph_1.3.2.zip, r-oldrel: qgraph_1.3.2.zip
OS X Snow Leopard binaries: r-release: qgraph_1.3.2.tgz, r-oldrel: qgraph_1.3.1.tgz
OS X Mavericks binaries: r-release: qgraph_1.3.2.tgz
Old sources: qgraph archive

Reverse dependencies:

Reverse imports: bootnet, diveRsity, gimme, graphicalVAR, IATscores, IsingFit, mlVAR, semPlot, SparseLearner
Reverse suggests: RcmdrPlugin.pointG, RSA