rUL_fc

<p>an n x n symmetric matrix to be modeled with a reduced rank matrix</p>

<p>Samples the components of a reduced rank approximating matrix from their
full conditional distributions</p>

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.

rUL_fc: Sample UL from its full conditional distribution

Description

Usage

Arguments

Value