Simulate a and Sab from full conditional distributions under the cbin likelihood

Usage

raSab_cbin_fc(Z, Y, a, b, Sab, odmax, odobs, Sab0=NULL, eta0=NULL,SS =
round(sqrt(nrow(Z))))

Z: a square matrix, the current value of Z
Y: square matrix of ranked nomination data
a: current value of row effects
b: current value of column effects
Sab: current value of Cov(a,b)
odmax: a scalar or vector giving the maximum number of nominations for each individual
odobs: observed outdegree
Sab0: prior (inverse) scale matrix for the prior distribution
eta0: prior degrees of freedom for the prior distribution
SS: number of iterations

Peter Hoff