Simulate a and Sab from full conditional distributions under frn likelihood

Source: R/raSab_frn_fc.R

Simulate a and Sab from full conditional distributions under frn likelihood

raSab_frn_fc(Z, Y, YL, a, b, Sab, odmax, odobs, Sab0=NULL, eta0=NULL,
SS=round(sqrt(nrow(Z))))

Arguments

Z

a square matrix, the current value of Z
Y

square matrix of ranked nomination data
YL

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

Value

Z

new value of Z

Sab

new value of Sab

a

new value of a

Author

Peter Hoff