rank.nodeicov-ergmTerm

InitWtErgmTerm.rank.nodeicov

Models the effect of one or more nodal covariates on the propensity of an
actor to be ranked highly by the others.

A set of extensions for the 'ergm' package to fit weighted networks whose edge weights are ranks. See Krivitsky and Butts (2017) <doi:10.1177/0081175017692623> and Krivitsky, Hunter, Morris, and Klumb (2023) <doi:10.18637/jss.v105.i06>.

Pavel N. Krivitsky

ergm.rank

Fit, Simulate and Diagnose Exponential-Family Models for
Rank-Order Relational Data

rank.nodeicov-ergmTerm function

<dl><dt>attr</dt>
<dd>a vertex attribute specification (see Specifying Vertex attributes and Levels (<code>?nodal_attributes</code>) for details.)</dd></dl>

Arguments

Attractiveness/Popularity covariates — rank.nodeicov-ergmTerm

<dl>

<dt>attr</dt>
<dd>a vertex attribute specification (see Specifying Vertex attributes and Levels (<code>?nodal_attributes</code>) for details.)</dd>

</dl>

rank.nodeicov-ergmTerm: Attractiveness/Popularity covariates

Description

Usage

Arguments

See Also