rbeta_ab_fc {amen}

Conditional simulation of additive effects and regression coefficients

Description

Simulates from the joint full conditional distribution of (beta,a,b) in a social relations regression model

Usage

rbeta_ab_fc(
  Z,
  Sab,
  rho,
  X = NULL,
  s2 = 1,
  offset = 0,
  iV0 = NULL,
  m0 = NULL,
  g = length(Z)
)

Arguments

Z

n X n normal relational matrix

Sab

row and column covariance

rho

dyadic correlation

X

n x n x p covariate array

s2

dyadic variance

offset

a matrix of the same dimension as Z. It is assumed that Z-offset follows a SRRM, so the offset should contain any multiplicative effects (such as U%*% t(V) )

iV0

prior precision matrix for regression parameters

m0

prior mean vector for regression parameters

g

prior variance scale for g-prior when iV0 is unspecified

Value

beta

regression coefficients

a

additive row effects

b

additive column effects

Author(s)

Peter Hoff