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. A vector containing the item difficulties for the item scores in scores estimated from the Rasch model in the preferred metric/scale. Numeric vector of equally spaced quadrature points. Numeric scalar. The mean of the prior. Numeric scalar. Standard deviation of the prior.

## Value

A list with three elements:

 Name Label eap Mean of the posterior gp Vcetor of quadrature points posterior Vector with posterior distribution.

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

## Author

Stef van Buuren, Arjan Huizing, 2020