Package: qgraph 1.9.8

Sacha Epskamp

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

Fork of qgraph - Weighted network visualization and analysis, as well as Gaussian graphical model computation. See Epskamp et al. (2012) <doi:10.18637/jss.v048.i04>.

Authors:Sacha Epskamp [aut, cre], Giulio Costantini [aut], Jonas Haslbeck [aut], Adela Isvoranu [aut], Angelique O. J. Cramer [ctb], Lourens J. Waldorp [ctb], Verena D. Schmittmann [ctb], Denny Borsboom [ctb]

qgraph_1.9.8.tar.gz
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qgraph.pdf |qgraph.html
qgraph/json (API)
NEWS

# Install 'qgraph' in R:
install.packages('qgraph', repos = c('https://sachaepskamp.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/sachaepskamp/qgraph/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

11.20 score 68 stars 57 packages 1.0k scripts 17k downloads 222 mentions 31 exports 85 dependencies

Last updated 1 years agofrom:9b70cd438e. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-win-x86_64OKOct 08 2024
R-4.5-linux-x86_64OKOct 08 2024
R-4.4-win-x86_64OKOct 08 2024
R-4.4-mac-x86_64OKOct 08 2024
R-4.4-mac-aarch64OKOct 08 2024
R-4.3-win-x86_64OKOct 08 2024
R-4.3-mac-x86_64OKOct 08 2024
R-4.3-mac-aarch64OKOct 08 2024

Exports:averageLayoutcentralitycentrality_autocentralityPlotcentralityTableclustcoef_autoclusteringPlotclusteringTableclustOnnelaclustWSclustZhangcor_autoEBICglassoFDRnetworkflowgetWmatggmFitggmModSelectmakeBWmat2vecmutualInformationpathwaysqgraphqgraph.animateqgraph.layout.fruchtermanreingoldqgraph.loadingsqgraphMixedsmallworldIndexsmallworldnessVARglmwi2net

Dependencies:abindbackportsbase64encbslibcachemcheckmatecliclustercolorspacecorpcorcpp11data.tabledigestevaluatefansifarverfastmapfdrtoolfontawesomeforeignFormulafsggplot2glassoglueGPArotationgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobandjpegjquerylibjsonliteknitrlabelinglatticelavaanlifecyclemagrittrMASSMatrixmemoisemgcvmimemnormtmunsellnlmennetnumDerivpbapplypbivnormpillarpkgconfigplyrpngpsychquadprogR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Converts qgraph object to igraph object.as.igraph.qgraph
Computes an average layout over several graphsaverageLayout
Big 5 datasetbig5
Big 5 groups listbig5groups
Centrality statistics of graphscentrality
Centrality and Clustering plots and tablescentralityPlot centralityTable clusteringPlot clusteringTable
Automatic centrality statistics of graphscentrality_auto
Local clustering coefficients.clustcoef_auto clustOnnela clustWS clustZhang
Automatically compute an apppropriate correlation matrixcor_auto
Compute Gaussian graphical model using graphical lasso based on extended BIC criterium.EBICglasso
Model selection using local False Discovery RateFDRnetwork
Draws network as a flow diagram showing how one node is connected to all other nodesflow
Obtain a weights matrixgetWmat getWmat.data.frame getWmat.igraph getWmat.matrix getWmat.qgraph
Obtain fit measures of a Gaussian graphical modelggmFit
Unregularized GGM model searchggmModSelect
A qgraph plot can be understood in black and whitemakeBW
Weights matrix to vectormat2vec
Computes the mutual information between nodesmutualInformation
Highlight shortest pathways in a networkpathways
Plot method for "qgraph"plot.qgraph
Print edgelistprint.qgraph
qgraphqgraph
Animate a growing networkqgraph.animate
qgraph.layout.fruchtermanreingoldqgraph.layout.fruchtermanreingold
qgraph.loadingsqgraph.loadings
Plots a mixed graph with both directed and undirected edges.qgraphMixed
Small-world index of unweighted graphsmallworldIndex
Compute the small-worldness index.smallworldness
Summary method for "qgraph"summary.qgraph
Computes a vector autoregressive lag-1 model using GLMVARglm
Converts precision matrix to partial correlation matrixwi2net