Update attributes and latent class probabilities by sampling from full conditional distribution.
update_alpha(Amat, Q, ss, gs, Y, PIs, ALPHAS, delta0)
A C by K matrix
of latent classes.
A N by K matrix
indicating which skills are required for which items.
A J vector
of item slipping parameters.
A J vector
of item guessing parameters.
A N by J matrix
of observed responses.
A C vector
of latent class probabilities.
A N by K matrix
of latent attributes.
A J vector
of Dirichlet prior parameters.
A N by K matrix
of attributes and a C vector
of class probabilities.