Package: eigenmodel
Title: Semiparametric Factor and Regression Models for Symmetric
        Relational Data
Version: 1.12
Date: 2026-01-16
Authors@R: person(given="Peter",
                 family="Hoff",
                 role=c("aut","cre"),
                 email="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)
        <doi:10.48550/arXiv.0711.1146>. for details on the model.
License: GPL-2
URL: https://pdhoff.github.io/
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2026-06-17 08:36:32 UTC; root
Author: Peter Hoff [aut, cre]
Maintainer: Peter Hoff <peter.hoff@duke.edu>
Repository: https://pdhoff.r-universe.dev
Date/Publication: 2026-01-18 13:30:02 UTC
RemoteUrl: https://github.com/cran/eigenmodel
RemoteRef: HEAD
RemoteSha: ee183bddc83fc85970d73237e23ace442d364f9d