IR90s

A relational dataset recording 
a variety of nodal and dyadic variables on countries in the 1990s,
including information on conflicts, trade and other variables. 
Except for the conflict variable, the variables are averages
across the decade.

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

IR90s function

A list consisting of a socioarray <code>dyadvars</code> of 
dyadic variables and matrix <code>nodevars</code> of nodal variables. 
The dyadic variables include<ul>
<li>total number of conflicts;</li>
<li>exports (in billions of dollars);</li>
<li>distance (in thousands of kilometers);</li>
<li>number of shared IGOs (averages across the years);</li>
<li>polity interaction.</li>
</ul>The nodal variables include<ul>
<li>population (in millions);</li>
<li>gdp (in billions of dollars);</li>
<li>polity</li>
</ul>

IR90s: International relations in the 90s

Description

Arguments

Format