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mstR (version 1.2)

Procedures to Generate Patterns under Multistage Testing

Description

Generation of response patterns under dichotomous and polytomous computerized multistage testing (MST) framework. It holds various item response theory (IRT) and score-based methods to select the next module and estimate ability levels (Magis, Yan and von Davier (2017, ISBN:978-3-319-69218-0)).

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Version

Install

install.packages('mstR')

Monthly Downloads

204

Version

1.2

License

GPL (>= 2)

Maintainer

David Magis

Last Published

March 30th, 2018

Functions in mstR (1.2)

EAP ability estimation (dichotomous and polytomous IRT models)

Random generation of item response patterns under dichotomous and polytomous IRT models

Standard error of EAP ability estimation (dichotomous and polytomous IRT models)

Item information functions, first and second derivatives (dichotomous and polytomous models)

Item bank generation (dichotomous models)

Function \(J(\theta)\) for weighted likelihood estimation (dichotomous and polytomous IRT models)

Item response probabilities, first, second and third derivatives (dichotomous and polytomous models)

Module Kullback-Leibler (MKL) and posterior module Kullback-Leibler (MKLP)

Maximum likelihood weighted module information (MLWMI) and maximum posterior weighted module information (MPWMI)

Item bank generation (polytomous models)

Numerical integration by linear interpolation (for mstR internal use)

Selection of the first module in MST

Selection of the next module in MST

Ability estimation (dichotomous and polytomous models)

Random generation of multistage tests (dichotomous and polytomous models)

Testing the format of the MST input lists

Standard error of ability estimation (dichotomous and polytomous models)