Package: irtoys 0.2.2

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

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.

Authors:Ivailo Partchev [aut, cre], Gunter Maris [aut], Tamaki Hattori [ctb]

irtoys_0.2.2.tar.gz
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irtoys.pdf |irtoys.html✨
irtoys/json (API)
NEWS

# Install 'irtoys' in R:
install.packages('irtoys', repos = c('https://irtools.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • Scored - Binary (true/false) responses to a test
  • Scored2pl - Example item parameters
  • Unscored - Original, unscored multiple-choice responses to a test
  • b1 - Example item parameters 1PL
  • b2 - Example item parameters 2PL
  • b3 - Example item parameters 3PL

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

5.39 score 3 stars 5 packages 54 scripts 686 downloads 17 mentions 32 exports 23 dependencies

Last updated 3 years agofrom:a0364e6d44. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 25 2024
R-4.5-win-x86_64OKOct 25 2024
R-4.5-linux-x86_64OKOct 25 2024
R-4.4-win-x86_64OKOct 25 2024
R-4.4-mac-x86_64OKOct 25 2024
R-4.4-mac-aarch64OKOct 25 2024
R-4.3-win-x86_64OKOct 25 2024
R-4.3-mac-x86_64OKOct 25 2024
R-4.3-mac-aarch64OKOct 25 2024

Exports:abilityapidpveaperfestiifinteractionModelirfirfPlotitfmlebmenormal.qunppqrsread.ip.bilogread.ip.iclread.qu.iclread.resprimscascoscoreMetricscpsimtettgftiatiftrftscwle

Dependencies:admisccliexpmfansigenericsgluelatticelifecycleltmmagrittrMASSMatrixmsmmvtnormpillarpkgconfigpolycorrlangsmsurvivaltibbleutf8vctrs

Round about irtoys

Ivailo Partchev

Rendered fromirtoys-vignette.Rmdusingknitr::rmarkdownon Oct 25 2024.

Last update: 2022-05-12
Started: 2016-10-10

Readme and manuals

Help Manual

Help pageTopics
Estimate and plot IRT models for binary responsesirtoys-package irtoys
Estimate abilityability
The api appropriateness indexapi
Example item parameters 1PL (Bilog)b1
Example item parameters 2PL (Bilog)b2
Example item parameters 3PL (Bilog)b3
Draw plausible valuesdpv
EAP estimation of abilityeap
Plot empirical response functionerf
Estimate item parametersest
Item information functioniif
Interaction modelinteractionModel
Item response functionirf
Item fit plotirfPlot
Test item fititf
Maximum likelihood and Bayes Modal estimation of abilitymlebme
Normal quadrature points and weightsnormal.qu
Non-parametric characteristic curvesnpp
A plot method for item information functionsplot.iif
A plot method for the interaction modelplot.imp
A plot method for item response functionsplot.irf
A plot method for test information functionsplot.tif
A plot method for test response functionsplot.trf
Quantiles of the ranked sum scoresqrs
Read in parameter estimatesread.ip.bilog
Read in parameter estimatesread.ip.icl
Read in quadratureread.qu.icl
Read responses from a fileread.resp
Item-total regressions for the Rasch vs. the interaction modelrim
Linear transformation of the IRT scalesca
Score a multiple choice testsco
Binary (true/false) responses to a testScored
Example item parametersScored2pl
Sum score metricscoreMetric
Plot observed and predicted scores against abilityscp
Simulate response datasim
Approximate tetchoric correlation matrixtet
Non-parametric option curvestgf
Elementary test-item analysistia
Test information functiontif
Test response functiontrf
True scores with standard errorstsc
Original, unscored multiple-choice responses to a testUnscored
Bias-corrected (Warm's) estimates of abilitywle