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

resp

A rough estimate of the values of the latent variable ("ability"). The sum
scores (number of correct responses) are ranked, breaking ties at random.
The ranks are divided by the sample size + 1, and the corresponding
quantiles of the standard Normal distribution are returned. Used as default
in the non-parametric IRF plots produced by <code><a rd-options="" href="/link/npp?package=irtoys&version=0.2.2" data-mini-rdoc="irtoys::npp">npp</a></code> in analogy to
Jim Ramsay's TestGraf. Another possible use is in <code><a rd-options="" href="/link/itf?package=irtoys&version=0.2.2" data-mini-rdoc="irtoys::itf">itf</a></code>.

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.

Ivailo Partchev

irtoys

A Collection of Functions Related to Item Response Theory (IRT)

Gunter Maris

Tamaki Hattori

qrs function

A rough estimate of the values of the latent variable ("ability"). The sum
scores (number of correct responses) are ranked, breaking ties at random.
The ranks are divided by the sample size + 1, and the corresponding
quantiles of the standard Normal distribution are returned. Used as default
in the non-parametric IRF plots produced by <code><a rd-options='' href='npp'>npp</a></code> in analogy to
Jim Ramsay's TestGraf. Another possible use is in <code><a rd-options='' href='itf'>itf</a></code>.

qrs: Quantiles of the ranked sum scores

Description

Usage

Arguments

Value

See Also

Examples