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This package estimates the parameters of a model for symmetric relational data (e.g., the abovediagonal part of a square matrix), using a modelbased eigenvalue decomposition and regression. Missing data is accomodated, 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.
Package details 


Author  Peter Hoff 
Date of publication  20120323 21:45:14 
Maintainer  Peter Hoff <hoff@stat.washington.edu> 
License  GPL2 
Version  1.01 
URL  http://www.stat.washington.edu/hoff 
Package repository  View on CRAN 
Installation 
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