Calculate posterior of ability
calculate_posterior(scores, tau, qp, mu, sd)
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.
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.