loglikelihood_hessian_diag_bicm

vector, probabilities given by current step in bicm function

list, c(degree sequence of rows, degree sequence of cols, multiplicity of rows, multiplicity of columns)

args

Computes the loglikelihood hessian for the <a rd-options="" href="/link/bicm?package=backbone&version=2.0.0" data-mini-rdoc="backbone::bicm">bicm</a> function

internal

An implementation of methods for extracting an unweighted unipartite
graph (i.e. a backbone) from an unweighted unipartite graph (Hamann et al., 2016
<doi:10.1007/s13278-016-0332-2>), a weighted unipartite graph (Serrano et al.,
2009 <doi:10.1073/pnas.0808904106>), the projection of an unweighted bipartite
graph (Neal et al., <doi:10.1038/s41598-021-03238-3>, or the projection of a weighted
bipartite graph (Neal, 2017 <doi:10.1177/0308518X16631339>). It also provides utility
functions to generate random binary matrices with (a) given density, (b) given row
and column marginals, and (c) given row and column marginal distributions.

Zachary Neal

backbone

Extracts the Backbone from Graphs

Rachel Domagalski

Bruce Sagan

Godard Karl

loglikelihood_hessian_diag_bicm function

Computes the loglikelihood hessian for the <a rd-options='' href='bicm'>bicm</a> function

Computes the loglikelihood hessian for the <a rd-options='' href='bicm'>bicm</a> function — loglikelihood_hessian_diag_bicm

Computes the loglikelihood hessian for the <a rd-options='' href='bicm'>bicm</a> function

Computes the loglikelihood hessian for the <a rd-options="" href="/link/bicm?package=backbone&version=2.0.0" data-mini-rdoc="backbone::bicm">bicm</a> function

loglikelihood_hessian_diag_bicm: Computes the loglikelihood hessian for the bicm function

Description

Usage

Arguments

Value