eapEst: EAP estimate of person parameters.

In Karel-Kroeze/MCAT: What the package does (short line)

Description

Estimated-a-posteriori estimate of latent ability. Utilizes Gauss-Hermite quadrature to do the required numerical integration. Can provide better estimates than ML estimation, particularly early on in a test.

Usage

eapEst(items, resp, model = items$model, prior = items$covar, ip = 4,
  debug = FALSE, ...)

Arguments

items	Itembank, or a subset of an Itembank. See genItembank.
resp	Response pattern, see ans.
model	String, valid values are "3PL", "GRM", "SM" or "GPCM". Defaults to "GPCM".
prior	Numeric (matrix), prior covariance.
debug	Logical. Should debug information be shown?
theta	Numeric (vector), initial theta estimate. Defaults to a null vector of length equal to the number of latent dimensions.
quad	Integer, number of quadrature points per dimension. Note that the total number of quadrature points is quad^Q, where Q is the number of latent dimensions.

Details

Details

Value

estimate A vector of latent ability estimates.

See Also

eapSE.

Karel-Kroeze/MCAT documentation built on May 8, 2019, 4:50 p.m.