Statistical inference on populations of weighted or unweighted networks.

Documentation for package ‘NetworkAnalysis’ version 0.2-1

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.
cost.int.metric	Integration of topological metrics for weighted networks.
cutoff.int.metric	Integration of topological metrics for weighted networks.
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.