eigenmodel_setup

non-negative integer rank of the approximating matrix

seed

enviromnemt within which to do the fitting

em_env

Setup constants and starting values for an eigenmodel fit

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.

eigenmodel_setup: Setup constants and starting values for an eigenmodel fit

Description

Usage

Arguments