Estimates the expectation of the posterior distribution
of the latent variable ("ability") for each person.
Usage
eap(resp, ip, qu)
Arguments
resp
A matrix of responses: persons as rows, items
as columns, entries are either 0 or 1, no missing data
ip
Item parameters: a matrix with one row per
item, and three columns: [,1] item discrimination
a, [,2] item difficulty b, and [,3] asymptote
c.
qu
A quadrature object produced with
normal.qu or read in with
read.qu.icl
Value
A matrix with the ability estimates in column 1, and
their standard errors of measurement (SEM) in column 2,
and the number of non-missing reponses in column 3