dyadnoise-ergmConstraint

InitErgmConstraint.dyadnoise

It is assumed that the observed LHS network is a noisy observation of
some unobserved true network, with <code>p01</code> giving the dyadwise
probability of erroneously observing a tie where the true network
had a non-tie and <code>p10</code> giving the dyadwise probability of
erroneously observing a nontie where the true network had a tie.

An integrated set of tools to analyze and simulate networks based on exponential-family random graph models (ERGMs). 'ergm' is a part of the Statnet suite of packages for network analysis. See Hunter, Handcock, Butts, Goodreau, and Morris (2008) <doi:10.18637/jss.v024.i03> and Krivitsky, Hunter, Morris, and Klumb (2023) <doi:10.18637/jss.v105.i06>.

Pavel N. Krivitsky

ergm

Fit, Simulate and Diagnose Exponential-Family Models for
Networks

Martina Morris

Li Wang

Kirk Li

Skye Bender-deMoll

Chad Klumb

Michał  Bojanowski

Ben Bolker

Christian Schmid

Joyce Cheng

Arya Karami

Adrien Le Guillou

dyadnoise-ergmConstraint function

<dl><dt>p01, p10</dt>
<dd>can both be scalars or both be adjacency matrices of the same dimension as that of the
LHS network giving these probabilities.</dd></dl>

Arguments

A soft constraint to adjust the sampled distribution for
dyad-level noise with known perturbation probabilities — dyadnoise-ergmConstraint

<dl>

<dt>p01, p10</dt>
<dd>can both be scalars or both be adjacency matrices of the same dimension as that of the
LHS network giving these probabilities.</dd>

</dl>

A soft constraint to adjust the sampled distribution for
dyad-level noise with known perturbation probabilities

dyadnoise-ergmConstraint: A soft constraint to adjust the sampled distribution for dyad-level noise with known perturbation probabilities

Description

Usage

Arguments

See Also