Bayes@N posterior mean (mu) and standard deviation (sigma).
mu
sigma
M x N integer matrix with entries in {0,...,C}.
M x N
{0,...,C}
Optional
Optional length-(C+1) weight vector. If omitted, R must be binary and [0, 1] is used.
(C+1)
R
[0, 1]
Optional M x D matrix of prior outcomes per row.
M x D
[mu, sigma].
[mu, sigma]
Bayes@N posterior mean (
mu) and standard deviation (sigma).