Package: diffIRT 1.5

diffIRT: Diffusion IRT Models for Response and Response Time Data

Package to fit diffusion-based IRT models to response and response time data. Models are fit using marginal maximum likelihood. Parameter restrictions (fixed value and equality constraints) are possible. In addition, factor scores (person drift rate and person boundary separation) can be estimated. Model fit assessment tools are also available. The traditional diffusion model can be estimated as well.

Authors:Dylan Molenaar

diffIRT_1.5.tar.gz
diffIRT_1.5.zip(r-4.7-x86_64)diffIRT_1.5.zip(r-4.7-arm64)diffIRT_1.5.zip(r-4.6-x86_64)diffIRT_1.5.zip(r-4.6-arm64)diffIRT_1.5.zip(r-4.5-x86_64)
diffIRT_1.5.tgz(r-4.6-x86_64)diffIRT_1.5.tgz(r-4.6-arm64)diffIRT_1.5.tgz(r-4.5-x86_64)diffIRT_1.5.tgz(r-4.5-arm64)
diffIRT_1.5.tar.gz(r-4.7-arm64)diffIRT_1.5.tar.gz(r-4.7-x86_64)diffIRT_1.5.tar.gz(r-4.6-arm64)diffIRT_1.5.tar.gz(r-4.6-x86_64)
diffIRT_1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
diffIRT/json (API)

# Install 'diffIRT' in R:
install.packages('diffIRT', repos = c('https://dylanmolenaar-nl.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • brightness - A Simulated Response Time Dataset according to an Experimental Design
  • extraversion - Responses and Response Times to 10 Extraversion Items
  • rotation - Responses and Response Times to 10 Mental Rotation Items

On CRAN:

Conda:

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

1.00 score 339 downloads 6 exports 1 dependencies

Last updated from:334262ac52. Checks:15 OK. Indexed: yes.

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source / vignettesOK190
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linux-release-x86_64OK110
macos-release-arm64OK118
macos-release-x86_64OK167
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windows-devel-x86_64OK111
windows-release-arm64OK303
windows-release-x86_64OK65
windows-oldrel-x86_64OK76
wasm-releaseOK108

Exports:diffIRTfactestQQdiffRespFitsimdiffsimdiffT

Dependencies:statmod