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ConvertPar: Estimating IRT Parameters via Machine Learning Algorithms

A tool to estimate IRT item parameters (2 PL) using CTT-based item statistics from small samples via artificial neural networks and regression trees.

Version: 0.1
Imports: neuralnet, mirt, RWeka, stats
Published: 2022-03-14
Author: Eda Akdogdu Yildiz ORCID iD [aut, cre], Huseyin Yıldız ORCID iD [aut], Kubra Atalay Kabasakal ORCID iD [aut]
Maintainer: Eda Akdogdu Yildiz <akdogdueda at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: ConvertPar results

Documentation:

Reference manual: ConvertPar.pdf

Downloads:

Package source: ConvertPar_0.1.tar.gz
Windows binaries: r-devel: ConvertPar_0.1.zip, r-release: ConvertPar_0.1.zip, r-oldrel: ConvertPar_0.1.zip
macOS binaries: r-release (arm64): ConvertPar_0.1.tgz, r-oldrel (arm64): ConvertPar_0.1.tgz, r-release (x86_64): ConvertPar_0.1.tgz, r-oldrel (x86_64): ConvertPar_0.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.