plot.eigenmodel_post

<p>an object of class <code>eigenmodel_post</code></p>

<p>A graphical display of MCMC output and posterior estimates of model
parameters in an eigenmodel fit. Includes 95 percent quantile-based
posterior confidence intervals of regression coefficients.</p>

multivariate

Estimation of the parameters in a model for
symmetric relational data (e.g., the above-diagonal part of a
square matrix), using a model-based eigenvalue decomposition
and regression. Missing data is accommodated, and a posterior
mean for missing data is calculated under the assumption that
the data are missing at random. The marginal distribution of
the relational data can be arbitrary, and is fit with an
ordered probit specification. See Hoff (2007) <arXiv:0711.1146>
for details on the model.

Peter Hoff

plot.eigenmodel_post: Plot the output of an eigenmodel fit

Description

Usage

Arguments