edgeprob

 An <code>ergm</code>, <code>btergm</code>, or <code>mtergm</code> object. 

object

verbose


<code>edgeprob</code> is a convenience function that creates a data frame with
all dyads in the ERGM or TERGM along with their edge probabilities and
their predictor values (i.e., change statistics). This is useful for
creating marginal effects plots or contrasting multiple groups of
dyads. This function works faster than the <a rd-options="" href="/link/interpret?package=btergm&version=1.8.2" data-mini-rdoc="btergm::interpret">interpret</a> function.
See also the <a rd-options="" href="/link/interpret?package=btergm&version=1.8.2" data-mini-rdoc="btergm::interpret">interpret</a> help page.


Temporal Exponential Random Graph Models (TERGM) estimated by maximum pseudolikelihood with bootstrapped confidence intervals or Markov Chain Monte Carlo maximum likelihood. Goodness of fit assessment for ERGMs, TERGMs, and SAOMs. Micro-level interpretation of ERGMs and TERGMs.

Philip Leifeld

btergm

Temporal Exponential Random Graph Models by Bootstrapped
Pseudolikelihood

edgeprob function


<code>edgeprob</code> is a convenience function that creates a data frame with
all dyads in the ERGM or TERGM along with their edge probabilities and
their predictor values (i.e., change statistics). This is useful for
creating marginal effects plots or contrasting multiple groups of
dyads. This function works faster than the <a rd-options='' href='interpret'>interpret</a> function.
See also the <a rd-options='' href='interpret'>interpret</a> help page.


edgeprob: Compute all dyadic edge probabilities for an ERGM or TERGM.

Description

Usage

Arguments

Value

See Also