Estimation of the parameters in 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 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)
Package details 


Author  Peter Hoff 
Date of publication  20180603 14:57:31 UTC 
Maintainer  Peter Hoff <[email protected]> 
License  GPL2 
Version  1.10 
URL  https://pdhoff.github.io/ 
Package repository  View on CRAN 
Installation 
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