eval_loglik

This function evaluates the log-likelihood of a fitted signed ergm model using path sampling.

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

eval_loglik function

<dl><dt>object</dt>
<dd>A fitted signed ergm model object.</dd></dl>

Arguments

Evaluate Log-Likelihood via Path Sampling — eval_loglik

<dl>

<dt>object</dt>
<dd>A fitted signed ergm model object.</dd>

</dl>

eval_loglik: Evaluate Log-Likelihood via Path Sampling

Description

Usage

Value

Arguments