mlebme

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

resp

Item parameters: the object returned by \(est\).

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

A collection of functions useful in learning and practicing IRT,
which can be combined into larger programs. Provides basic CTT analysis,
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), ability estimation (MLE, BME, EAP, WLE, plausible
values), item and person fit statistics, scaling methods (MM, MS, Stocking-Lord,
and the complete Hebaera method), and a rich array of parametric and
non-parametric (kernel) plots. Estimates and plots Haberman's interaction model
when all items are dichotomously scored.

mlebme: Maximum likelihood and Bayes Modal estimation of ability

Description

Usage

Arguments

Value

See Also

Examples