Update guessing and slipping parameters from full conditional distribution.
update_sg(Y, Q, ALPHAS, ss_old, as0, bs0, ag0, bg0)A N by J matrix of observed responses.
A N by K matrix indicating which skills are required for which items.
A N by K matrix of latent attributes.
A J vector of item slipping parameters from prior iteration.
Slipping prior alpha parameter for Beta distribution.
Slipping prior beta parameter for Beta distribution.
Guessing prior alpha parameter for Beta distribution.
Guessing prior beta parameter for Beta distribution.
A list with two J vectors of guessing and slipping parameters.