rZ_cbin_fc {amen}

Simulate Z given fixed rank nomination data

Description

Simulates a random latent matrix Z given its expectation, dyadic correlation and censored binary nomination data

Usage

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

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

Value

a square matrix, the new value of Z

Author(s)

Peter Hoff