raSab_cbin_fc | R Documentation |
Simulate a and Sab from full conditional distributions under the cbin likelihood
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 |
Z |
new value of Z |
Sab |
new value of Sab |
a |
new value of a |
Peter Hoff
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.