ergmm.prior

Prior distribution parameters. See <a href="/link/terms.ergmm?package=latentnet&version=2.1-1" rd-options="" data-mini-rdoc="latentnet::terms.ergmm">terms.ergmm</a>
    for more information.

A shortcut: whether the prior variance for each covariate
    coefficient should be divided by the mean square of that
    covariate. This adjustment affects those variances specified in the
    formula or by default, but not those specified through the
 

adjust.beta.var

Auxiliary function as user interface for <code><a href="/link/ergmm?package=latentnet&version=2.1-1" rd-options="" data-mini-rdoc="latentnet::ergmm">ergmm</a></code> prior
  specification. Typically only used when calling <code><a href="/link/ergmm?package=latentnet&version=2.1-1" rd-options="" data-mini-rdoc="latentnet::ergmm">ergmm</a></code>. It is
  used to supply the parameters of the prior distribution of the model,
  to overwrite those specified in the model formula, and to supply
  miscellaneous prior parameters.

models

graphs

A package to fit and simulate latent position and cluster models for statistical networks. 

ergmm.prior: Auxiliary for Setting the ERGMM Prior

Description

Usage

Arguments

Value

See Also