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 bicm function

internal

An implementation of methods for extracting an unweighted unipartite
graph (i.e. a backbone) from an unweighted unipartite graph, a weighted unipartite
graph, the projection of an unweighted bipartite graph , or the projection
of a weighted bipartite graph (Neal, 2022 <doi:10.1371/journal.pone.0269137>).

Zachary Neal

backbone

Extracts the Backbone from Graphs

Rachel Domagalski

Bruce Sagan

Karl Godard

loglikelihood_hessian_diag_bicm function

<dl><dt>x0</dt>
<dd>vector, probabilities given by current step in bicm function</dd>
<dt>args</dt>
<dd>list, c(degree sequence of rows, degree sequence of cols, multiplicity of rows, multiplicity of columns)</dd></dl>

Arguments

Computes the loglikelihood hessian for the bicm function — loglikelihood_hessian_diag_bicm

<dl>

<dt>x0</dt>
<dd>vector, probabilities given by current step in bicm function</dd>


<dt>args</dt>
<dd>list, c(degree sequence of rows, degree sequence of cols, multiplicity of rows, multiplicity of columns)</dd>

</dl>

loglikelihood_hessian_diag_bicm: Computes the loglikelihood hessian for the bicm function

Description

Usage

Value

Arguments