raSab_bin_fc

Simulate a and Sab from full conditional distributions under bin likelihood

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

raSab_bin_fc function

<dl><dt>Z</dt>
<dd>a square matrix, the current value of Z</dd>
<dt>Y</dt>
<dd>square binary relational matrix</dd>
<dt>a</dt>
<dd>current value of row effects</dd>
<dt>b</dt>
<dd>current value of column effects</dd>
<dt>Sab</dt>
<dd>current value of Cov(a,b)</dd>
<dt>Sab0</dt>
<dd>prior (inverse) scale matrix for the prior distribution</dd>
<dt>eta0</dt>
<dd>prior degrees of freedom for the prior distribution</dd>
<dt>SS</dt>
<dd>number of iterations</dd></dl>

Arguments

Author

Simulate a and Sab from full conditional distributions under bin likelihood — raSab_bin_fc

<dl>

<dt>Z</dt>
<dd>a square matrix, the current value of Z</dd>


<dt>Y</dt>
<dd>square binary relational matrix</dd>


<dt>a</dt>
<dd>current value of row effects</dd>


<dt>b</dt>
<dd>current value of column effects</dd>


<dt>Sab</dt>
<dd>current value of Cov(a,b)</dd>


<dt>Sab0</dt>
<dd>prior (inverse) scale matrix for the prior distribution</dd>


<dt>eta0</dt>
<dd>prior degrees of freedom for the prior distribution</dd>


<dt>SS</dt>
<dd>number of iterations</dd>

</dl>

raSab_bin_fc: Simulate a and Sab from full conditional distributions under bin likelihood

Description

Usage

Value

Arguments

Author