Description Usage Arguments Value Author(s)
Simulate a and Sab from full conditional distributions under the cbin likelihood
1 2 | raSab_cbin_fc(Z, Y, a, b, Sab, odmax, odobs, 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 |
SS |
number of iterations |
Z |
new value of Z |
Sab |
new value of Sab |
a |
new value of a |
Peter Hoff
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