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emIRT (version 0.0.5)

EM Algorithms for Estimating Item Response Theory Models

Description

Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) models. The current implementation includes IRT models for binary and ordinal responses, along with dynamic and hierarchical IRT models with binary responses. The latter two models are derived and implemented using variational EM.

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Version

Install

install.packages('emIRT')

Monthly Downloads

612

Version

0.0.5

License

GPL (>= 2)

Maintainer

James Lo

Last Published

March 1st, 2015

Functions in emIRT (0.0.5)

dynIRT

Dynamic IRT estimation via Variational Inference
binIRT

Two-parameter Binary IRT estimation via EM
makePriors

Generate Priors for binIRT
hierIRT

Hierarchichal IRT estimation via Variational Inference
ordIRT

Two-parameter Ordinal IRT estimation via EM
AsahiTodai

Asahi-Todai Elite Survey
getStarts

Generate Starts for binIRT
convertRC

Convert Roll Call Matrix Format
dwnom

Poole-Rosenthal DW-NOMINATE data and scores, 80-110 U.S. Senate
mq_data

Martin-Quinn Judicial Ideology Scores