sampsonmonks

<p>Several dyadic variables measured on 18 members of a monastery.</p>

Analysis of dyadic network and relational data using additive and
multiplicative effects (AME) models. The basic model includes
regression terms, the covariance structure of the social relations model
(Warner, Kenny and Stoto (1979) <DOI:10.1037/0022-3514.37.10.1742>,
Wong (1982) <DOI:10.2307/2287296>), and multiplicative factor
models (Hoff(2009) <DOI:10.1007/s10588-008-9040-4>).
Several different link functions accommodate different
relational data structures, including binary/network data, normal
relational data, zero-inflated positive outcomes using a tobit model, ordinal relational data and data from
fixed-rank nomination schemes. Several of these link functions are
discussed in Hoff, Fosdick, Volfovsky and Stovel (2013)
<DOI:10.1017/nws.2013.17>. Development of this
software was supported in part by NIH grant R01HD067509.

Peter Hoff

amen

Additive and Multiplicative Effects Models for Networks and
Relational Data

Bailey Fosdick

Alex Volfovsky

Yanjun He

sampsonmonks function

<p>A socioarray whose dimensions represent nominators, nominatees and relations. 
Each monk was asked to rank up to three other monks on a variety of positive 
and negative relations. A rank of three indicates the "highest" ranking for 
a particular relational variable. The relations <code>like_m2</code> and <code>like_m1</code>
are evaluations of likeing at one and two timepoints previous to when the 
other relations were measured.</p>

sampsonmonks: Sampson's monastery data

Description

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