summary_formula.dynamic.sign

Calculates statistics for dynamic.sign objects at specified timepoints.

Extends the 'ergm.multi' packages from the Statnet suite to fit (temporal) exponential-family random graph models for signed networks. The framework models positive and negative ties as interdependent, which allows estimation and testing of structural balance theory. The package also includes options for descriptive summaries, visualization, and simulation of signed networks. See Krivitsky, Koehly, and Marcum (2020) <doi:10.1007/s11336-020-09720-7> and Fritz, C., Mehrl, M., Thurner, P. W., & Kauermann, G. (2025) <doi:10.1017/pan.2024.21>.

Marc Schalberger

ergm.sign

Exponential-Family Models for Signed Networks

Cornelius Fritz

Pavel Krivitsky

summary_formula.dynamic.sign function

<dl><dt>object</dt>
<dd>A formula with a dynamic.sign network as LHS.</dd>
<dt>at</dt>
<dd>Numeric vector of timepoints. Defaults to all if missing.</dd>
<dt>...</dt>
<dd>Additional arguments passed to summary_formula for network objects.</dd>
<dt>basis</dt>
<dd>Optional dynamic.sign network. If NULL, uses LHS network.</dd></dl>

Arguments

Summary formula method for dynamic signed networks — summary_formula.dynamic.sign

<dl>

<dt>object</dt>
<dd>A formula with a dynamic.sign network as LHS.</dd>


<dt>at</dt>
<dd>Numeric vector of timepoints. Defaults to all if missing.</dd>


<dt>...</dt>
<dd>Additional arguments passed to summary_formula for network objects.</dd>


<dt>basis</dt>
<dd>Optional dynamic.sign network. If NULL, uses LHS network.</dd>

</dl>

summary_formula.dynamic.sign: Summary formula method for dynamic signed networks

Description

Usage

Value

Arguments