Simulate Z given relative rank nomination data

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Description

Simulates a random latent matrix Z given its expectation, dyadic correlation and relative rank nomination data

Usage

1
rZ_rrl_fc(Z, EZ, rho, Y, YL)

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

YL

list of ranked individuals, from least to most preferred in each row

Details

simulates Z under the constraints (1) Y[i,j]>Y[i,k] => Z[i,j]>Z[i,k]

Value

a square matrix, the new value of Z

Author(s)

Peter Hoff

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