Calculate posterior for one item given score, difficulty and prior
posterior(score, tau, prior, qp, scale)
A vector of length length(prior)
Integer, either 0 (fail) and 1 (pass)
Numeric, difficulty parameter
Vector of prior values on quadrature points qp
vector of equally spaced quadrature points
expansion relative to the logit scale
Stef van Buuren, Arjan Huizing, 2020
This function assumes that the difficulties have been estimated by
a binary Rasch model, e.g. by rasch.pairwise.itemcluster()
of
the sirt
package.
dscore()