Package: ConvertPar 0.1

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.

Authors:Eda Akdogdu Yildiz [aut, cre], Huseyin Yıldız [aut], Kubra Atalay Kabasakal [aut]

ConvertPar_0.1.tar.gz
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ConvertPar.pdf |ConvertPar.html
ConvertPar/json (API)

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

Peer review:

Bug tracker:https://github.com/eda-akdogdu/convertpar/issues

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

2.00 score 149 downloads 3 exports 71 dependencies

Last updated 3 years agofrom:a8158c914e. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winOKNov 10 2024
R-4.5-linuxOKNov 10 2024
R-4.4-winOKNov 10 2024
R-4.4-macOKNov 10 2024
R-4.3-winOKNov 10 2024
R-4.3-macOKNov 10 2024

Exports:conv.annconv.rtgen.data

Dependencies:audiobeeprbriocallrcliclustercodetoolscrayoncurldcurverDerivdescdiffobjdigestdplyrevaluatefansifsfuturefuture.applygenericsglobalsglueGPArotationgridExtragtablejsonlitelatticelifecyclelistenvmagrittrMASSMatrixmgcvmirtneuralnetnlmeparallellypbapplypermutepillarpkgbuildpkgconfigpkgloadpraiseprocessxprogressrpsR.methodsS3R.ooR.utilsR6RcppRcppArmadillorJavarlangrprojrootRPushbulletRWekaRWekajarssessioninfoSimDesignsnowtestthattibbletidyselectutf8vctrsveganwaldowithr