est: Obtain an ability estimate given a response pattern and item...

Description Usage Arguments Details Value

Description

Calculates either the maximum likelihood (ML), estimated a-posteriori (EAP) or Bayes modal (BM or MAP) estimate.

Usage

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est(theta, items, resp, method = "BM", model = items$model,
  prior = items$covar, threshold = 1e-04, max.iter = 10, debug = FALSE,
  ip = 10, ...)

Arguments

theta

Numeric (vector), initial theta estimate. Defaults to a null vector of length equal to the number of dimensions.

items

Subset of itembank that has been answered, see genItembank.

resp

Response pattern, see ans.

method

String, valid values are "ML", "EAP", and "MAP" or "BM". Defaults to "BM".

model

String, valid values are "3PL", "GRM", "SM" or "GPCM". Defaults to "GPCM".

debug

Logical. Should debug information be shown?

...

Passed on to eapEst, ignored if method is not "EAP". See eapEst for details.

Sigma0

Numeric (matrix), prior covariance. Only required when method != "ML".

Details

Details

Value

list with two entries; theta contains the current theta estimate, and SE the standard error of the estimate.


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