rrho_fc: Griddy Gibbs update for dyadic correlation

In amen: Additive and Multiplicative Effects Models for Networks and Relational Data

Griddy Gibbs update for dyadic correlation

Description

Simulation of dyadic correlation from its approximate full conditional distribution using griddy Gibbs sampling

Usage

rrho_fc(Z, Sab, s2 = 1, offset = 0, ngp = 100, asp = NULL)

Arguments

Z	n X n normal relational matrix
Sab	covariance of additive effects
s2	residual variance
offset	matrix of the same dimension as Z. It is assumed that Z-offset follows an SRM distribution, so the offset should contain any regression terms and multiplicative effects (such as Xbeta(X,beta+ U%*%t(V) )
ngp	the number of points for an unevenly-spaced grid on which to approximate the full conditional distribution
asp	use arc sine prior (TRUE) or uniform prior (FALSE)

Value

a value of rho

Author(s)

Peter Hoff

amen documentation built on May 29, 2024, 9:58 a.m.