rrho_mh_rep

Metropolis update for dyadic correlation with independent replicate data.

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

rrho_mh_rep function

<dl><dt>E.T</dt>
<dd>Array of square residual relational matrix series. The third
dimension of the array is for different replicates. Each slice of the array
according to the third dimension is a square residual relational matrix.</dd>
<dt>rho</dt>
<dd>current value of rho</dd>
<dt>s2</dt>
<dd>current value of s2</dd></dl>

Arguments

Author

Metropolis update for dyadic correlation with independent replicate data — rrho_mh_rep

<dl>

<dt>E.T</dt>
<dd>Array of square residual relational matrix series. The third
dimension of the array is for different replicates. Each slice of the array
according to the third dimension is a square residual relational matrix.</dd>


<dt>rho</dt>
<dd>current value of rho</dd>


<dt>s2</dt>
<dd>current value of s2</dd>

</dl>

rrho_mh_rep: Metropolis update for dyadic correlation with independent replicate data

Description

Usage

Value

Arguments

Author