Package: eigenmodel
Title: Semiparametric Factor and Regression Models for Symmetric
        Relational Data
Version: 1.11
Date: 2019-05-28
Author: Peter Hoff
Maintainer: Peter Hoff <peter.hoff@duke.edu>
Description: 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.  
License: GPL-2
URL: https://pdhoff.github.io/
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2019-05-28 14:48:11 UTC; pdh10
Repository: CRAN
Date/Publication: 2019-05-28 15:40:03 UTC
Built: R 4.3.3; ; 2025-01-24 04:57:31 UTC; unix
