Calculate posterior of ability

calculate_posterior(scores, tau, qp, mu, sd)

Arguments

scores

A vector with PASS/FAIL observations. Scores are coded numerically as pass = 1 and fail = 0.

tau

A vector containing the item difficulties for the item scores in scores estimated from the Rasch model in the preferred metric/scale.

qp

Numeric vector of equally spaced quadrature points.

mu

Numeric scalar. The mean of the prior.

sd

Numeric scalar. Standard deviation of the prior.

Value

A list with three elements:

NameLabel
eapMean of the posterior
gpVcetor of quadrature points
posteriorVector with posterior distribution.

Since dscore V40.1 the function does not return the "start" element.

Author

Stef van Buuren, Arjan Huizing, 2020