Statistical inference on populations of weighted or unweighted networks.

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Documentation for package ‘NetworkAnalysis’ version 0.3-1

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NetworkAnalysis-package Statistical inference on populations of weighted or unweighted networks.
adjacency.random Uniform draw of a random adjacency matrix.
adjacency.regular Uniform draw of a random adjacency matrix.
adjacency.unihub Uniform draw of a random adjacency matrix.
bound.standard Standardization of bounds when partially integrating topological metrics.
Con10 Matrices of shortest paths corresponding to Erdos-Renyi models for different number of vertices (10, 100 and 1000), which are either connected (e.g. Con10) or disconnected (e.g. Dis10).
Con100 Matrices of shortest paths corresponding to Erdos-Renyi models for different number of vertices (10, 100 and 1000), which are either connected (e.g. Con10) or disconnected (e.g. Dis10).
Con1000 Matrices of shortest paths corresponding to Erdos-Renyi models for different number of vertices (10, 100 and 1000), which are either connected (e.g. Con10) or disconnected (e.g. Dis10).
cost.int.metric Integration of topological metrics for weighted networks.
Dis10 Matrices of shortest paths corresponding to Erdos-Renyi models for different number of vertices (10, 100 and 1000), which are either connected (e.g. Con10) or disconnected (e.g. Dis10).
Dis100 Matrices of shortest paths corresponding to Erdos-Renyi models for different number of vertices (10, 100 and 1000), which are either connected (e.g. Con10) or disconnected (e.g. Dis10).
Dis1000 Matrices of shortest paths corresponding to Erdos-Renyi models for different number of vertices (10, 100 and 1000), which are either connected (e.g. Con10) or disconnected (e.g. Dis10).
ge The global efficiency of an unweighted simple graph.
le The global efficiency of an unweighted simple graph.
maxE The number of edges of a saturated (complete) graph.
metric.standardization Standardization of a similarity real-valued matrix.
naCost Compute the cost of an unweighted graph.
naDensity Compute the weighted cost (density) of a weighted graph.
naHeatmap Produce a heatmap visualization of a (symmetric) matrix
nback1 Matrix of functional connectivity between 90 brain regions.
NetworkAnalysis Statistical inference on populations of weighted or unweighted networks.
sym2vec Transform a symmetric matrix into a vector.
vec2sym Transform a vector into a corresponding symmetric matrix.