This function takes in data that has been broken up into
pair format. The user is given a matrix C, where element
C[i, j] represents (if normalized is FALSE) exactly how
many times alternative i has beaten alternative j (if
normalized is TRUE) the observed probability that
alternative i beats j
whether or not this generateC should use
the third column of Data.pairs as the weights
prior
the initial "fake data" that you want to
include in C. A prior of 1 would mean that you initially
"observe" that all alternatives beat all other
alternatives exactly once.
normalized
if TRUE, then normalizes entries to
probabilities
Value
a Count matrix of how many times alternative i has beat
alternative j