raSab_frn_fc function

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

Returns

• Z: new value of Z - Sab: new value of Sab - a: new value of a

Author(s)

Peter Hoff