rZ_cbin_fc function

Simulate Z given fixed rank nomination data

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)

Arguments

• 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

Returns

a square matrix, the new value of Z

Details

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

Author(s)

Peter Hoff