# qgraph v1.6.2

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## Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation

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

## Functions in qgraph

Name | Description | |

mutualInformation | Computes the mutual information between nodes | |

wi2net | Converts precision matrix to partial correlation matrix | |

qgraphMixed | Plots a mixed graph with both directed and undirected edges. | |

qgraphAnnotate | Annotates a qgraph object with mouseover tooltips in a HTML file | |

flow | Draws network as a flow diagram showing how one node is connected to all other nodes | |

plot.qgraph | Plot method for "qgraph" | |

pathways | Highlight shortest pathways in a network | |

centrality and clustering plots | Centrality and Clustering plots and tables | |

EBICglasso | Compute Gaussian graphical model using graphical lasso based on extended BIC criterium. | |

averageLayout | Computes an average layout over several graphs | |

qgraph.animate | Animate a growing network | |

qgraph.layout.fruchtermanreingold | qgraph.layout.fruchtermanreingold | |

big5groups | Big 5 groups list | |

clustcoef_auto | Local clustering coefficients. | |

ggmModSelect | Unregularized GGM model search | |

getWmat | Obtain a weights matrix | |

cor_auto | Automatically compute an apppropriate correlation matrix | |

smallworldness | Compute the small-worldness index. | |

ggmFit | Obtain fit measures of a Gaussian graphical model | |

makeBW | A qgraph plot can be understood in black and white | |

summary.qgraph | Summary method for "qgraph" | |

qgraph.loadings | qgraph.loadings | |

smallworldIndex | Small-world index of unweighted graph | |

print.qgraph | Print edgelist | |

qgraph | qgraph | |

big5 | Big 5 dataset | |

centrality | Centrality statistics of graphs | |

centrality_auto | Automatic centrality statistics of graphs | |

FDRnetwork | Model selection using local False Discovery Rate | |

VARglm | Computes a vector autoregressive lag-1 model using GLM | |

findGraph | Search for optimal correlation or partial correlation network | |

mat2vec | Weights matrix to vector | |

as.igraph.qgraph | Converts qgraph object to igraph object. | |

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## Details

Type | Package |

ByteCompile | yes |

URL | http://sachaepskamp.com/qgraph |

BugReports | https://github.com/SachaEpskamp/qgraph |

License | GPL-2 |

LazyLoad | yes |

LinkingTo | Rcpp |

NeedsCompilation | yes |

Packaged | 2019-05-09 09:46:12 UTC; sachaepskamp |

Repository | CRAN |

Date/Publication | 2019-05-09 11:10:04 UTC |

imports | abind , BDgraph , colorspace , corpcor , d3Network , fdrtool , ggm , ggplot2 , glasso , grDevices , gtools , Hmisc , huge , igraph , jpeg , lavaan , Matrix , methods , parallel , pbapply , plyr , png , psych , Rcpp (>= 1.0.0) , reshape2 |

depends | R (>= 3.0.0) |

suggests | sendplot |

Contributors | Denny Borsboom, Jonas Haslbeck, Giulio Costantini, Angelique O. J. Cramer, Lourens J. Waldorp, Verena D. Schmittmann |

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