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irtoys (version 0.2.1)

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

Description

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.

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Version

Install

install.packages('irtoys')

Monthly Downloads

690

Version

0.2.1

License

GPL (>= 2)

Maintainer

Ivailo Partchev

Last Published

December 15th, 2017

Functions in irtoys (0.2.1)

ability

Estimate ability
b2

Example item parameters 2PL (Bilog)
b3

Example item parameters 3PL (Bilog)
dpv

Draw plausible values
Unscored

Original, unscored multiple-choice responses to a test
Scored

Binary (true/false) responses to a test
b1

Example item parameters 1PL (Bilog)
Scored2pl

Example item parameters
iif

Item information function
api

The api appropriateness index
mlebme

Maximum likelihood and Bayes Modal estimation of ability
itf

Test item fit
normal.qu

Normal quadrature points and weights
irf

Item response function
irfPlot

Item fit plot
est

Estimate item parameters
interactionModel

Interaction model
erf

Plot empirical response function
irtoys-package

Estimate and plot IRT models for binary responses
read.ip.icl

Read in parameter estimates
plot.trf

A plot method for test response functions
plot.tif

A plot method for test information functions
plot.iif

A plot method for item information functions
npp

Non-parametric characteristic curves
tgf

Non-parametric option curves
plot.imp

A plot method for the interaction model
tia

Elementary test-item analysis
plot.irf

A plot method for item response functions
sim

Simulate response data
read.qu.icl

Read in quadrature
tet

Approximate tetchoric correlation matrix
scoreMetric

Sum score metric
read.resp

Read responses from a file
scp

Plot observed and predicted scores against ability
rim

Item-total regressions for the Rasch vs. the interaction model
tsc

True scores with standard errors
wle

Bias-corrected (Warm's) estimates of ability
qrs

Quantiles of the ranked sum scores
read.ip.bilog

Read in parameter estimates
sca

Linear transformation of the IRT scale
sco

Score a multiple choice test
tif

Test information function
trf

Test response function
eap

EAP estimation of ability