rZ_fc

a symmetric matrix with elements equal to the expected values of
the latent variables

whether or not to do a Metropolis update in addition to the Gibbs
sampling

Sample from the full conditional distribution of the latent variables in the
ordered probit model

multivariate

models

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.

rZ_fc: Sample from the full conditional distribution of the probit latent variables

Description

Usage

Arguments

Value