Simulate a and Sab from full conditional distributions under frn likelihood
raSab_frn_fc(Z, Y, YL, a, b, Sab, odmax, odobs, Sab0=NULL, eta0=NULL,
SS=round(sqrt(nrow(Z))))
new value of Z
new value of Sab
new value of a
a square matrix, the current value of Z
square matrix of ranked nomination data
list of ranked individuals, from least to most preferred in each row
current value of row effects
current value of column effects
current value of Cov(a,b)
a scalar or vector giving the maximum number of nominations for each individual
observed outdegree
prior (inverse) scale matrix for the prior distribution
prior degrees of freedom for the prior distribution
number of iterations
Peter Hoff