Calculate posterior for one item given score, difficulty and prior

posterior(score, tau, prior, qp)

Arguments

score

Integer, either 0 (fail) and 1 (pass)

tau

Numeric, difficulty parameter

prior

Vector of prior values on quadrature points qp

qp

vector of equally spaced quadrature points

Value

A vector of length length(prior)

Details

This function assumes that the difficulties have been estimated by a binary Rasch model (e.g. by sirt::rasch.pairwise.itemcluster()).

Note

: Internal function

See also

Author

Stef van Buuren, Arjan Huizing, 2020