hyperg

graph: An unweighted bipartite graph object of class matrix, sparse matrix, igraph, edgelist, or network object.
Any rows and columns of the associated bipartite matrix that contain only zeros are automatically removed before computations.

`hyperg` computes the probability of observing
 a higher or lower edge weight using the hypergeometric distribution.
 Once computed, use <code><a rd-options="" href="/link/backbone.extract?package=backbone&version=1.4.0" data-mini-rdoc="backbone::backbone.extract">backbone.extract</a></code> to return
 the backbone matrix for a given alpha value.

Provides methods for extracting from a weighted graph
a binary or signed backbone that retains only the significant edges.
The user may input a weighted graph, or a bipartite graph
from which a weighted graph is first constructed via projection.
Backbone extraction methods include the stochastic degree sequence model (Neal, Z. P. (2014). <doi:10.1016/j.socnet.2014.06.001>),
hypergeometric model (Neal, Z. (2013). <doi:10.1007/s13278-013-0107-y>),
the fixed degree sequence model (Zweig, K. A., and Kaufmann, M. (2011). <doi:10.1007/s13278-011-0021-0>),
fixed column model, fixed fill model,
as well as a universal threshold method.

Rachel Domagalski

backbone

Extracts the Backbone from Weighted Graphs

Zachary Neal

Bruce Sagan

hyperg function

`hyperg` computes the probability of observing
 a higher or lower edge weight using the hypergeometric distribution.
 Once computed, use <code><a rd-options='' href='backbone.extract'>backbone.extract</a></code> to return
 the backbone matrix for a given alpha value.

hyperg: A wrapper for the fixedrow function

Description

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Examples