Simulates a random latent matrix Z given its expectation, dyadic correlation and censored binary nomination data
rZ_cbin_fc(Z, EZ, rho, Y, odmax, odobs)
| Z | a square matrix, the current value of Z |
|---|---|
| EZ | expected value of Z |
| rho | dyadic correlation |
| Y | square matrix of ranked nomination data |
| odmax | a scalar or vector giving the maximum number of nominations for each individual |
| odobs | observed outdegree |
a square matrix, the new value of Z
simulates Z under the constraints (1) Y[i,j]=1, Y[i,k]=0 => Z[i,j]>Z[i,k] , (2) Y[i,j]=1 => Z[i,j]>0 , (3) Y[i,j]=0 & odobs[i]<odmax[i] => Z[i,j]<0
Peter Hoff