Package: diffIRT 1.5

Dylan Molenaar

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.tar.gz(r-4.5-noble)diffIRT_1.5.tar.gz(r-4.4-noble)
diffIRT_1.5.tgz(r-4.4-emscripten)diffIRT_1.5.tgz(r-4.3-emscripten)
diffIRT.pdf |diffIRT.html
diffIRT/json (API)

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

Peer review:

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

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

1.28 score 19 scripts 139 downloads 6 exports 1 dependencies

Last updated 9 years agofrom:334262ac52. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 02 2024
R-4.5-linux-x86_64OKNov 02 2024

Exports:diffIRTfactestQQdiffRespFitsimdiffsimdiffT

Dependencies:statmod