mlebme

A matrix of responses: persons as rows, items
  as columns, entries are either 0 or 1, no missing data

resp

Item parameters: a matrix with one row per
  item, and three columns: [,1] item discrimination
  $a$, [,2] item difficulty $b$, and [,3] asymptote
  $c$.

Mean of the apriori distribution. Ignored when
  <code>method="ML"</code>. Default is 0.

Standard deviation of the apriori
  distribution. Ignored when <code>method="ML"</code>. Default is
  1.

sigma

<code>"ML"</code> for maximum likelihood or
  <code>"BM"</code> for Bayes Modal estimation. Default is
  <code>"ML"</code>, in which case any values for <code>mu</code> and
  <code>sigma</code> will be ignored.

method

Estimates the value of the latent variable ("ability")
  for each person by direct optimization

models

Provides a simple common interface to the estimation of
        item parameters in IRT models for binary responses with three
        different programs (ICL, BILOG-MG, and ltm, and a variety of
        functions useful with IRT models.

mlebme: Maximum likelihood and Bayes Modal estimation of ability

Description

Usage

Arguments

Value

See Also

Examples