R/raSab_bin_fc.R
raSab_bin_fc.Rd
Simulate a and Sab from full conditional distributions under bin likelihood
raSab_bin_fc(Z, Y, a, b, Sab, Sab0=NULL, eta0=NULL, SS = round(sqrt(nrow(Z))))
Z | a square matrix, the current value of Z |
---|---|
Y | square binary relational matrix |
a | current value of row effects |
b | current value of column effects |
Sab | current value of Cov(a,b) |
Sab0 | prior (inverse) scale matrix for the prior distribution |
eta0 | prior degrees of freedom for the prior distribution |
SS | number of iterations |
new value of Z
new value of Sab
new value of a
Peter Hoff