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 = '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 154 downloads 6 exports 1 dependencies

Last updated 10 years agofrom:334262ac52. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 01 2025
R-4.5-linux-x86_64OKApr 01 2025
R-4.4-linux-x86_64OKApr 01 2025

Exports:diffIRTfactestQQdiffRespFitsimdiffsimdiffT

Dependencies:statmod

Citation

To cite diffIRT in publications use:

Dylan Molenaar, Francis Tuerlinckx, Han L. J. van der Maas (2015). Fitting Diffusion Item Response Theory Models for Responses and Response Times Using the R Package diffIRT. Journal of Statistical Software, 66(4), 1-34. URL http://www.jstatsoft.org/v66/i04/.

Corresponding BibTeX entry: 

  @Article{,
    title = {Fitting Diffusion Item Response Theory Models for
      Responses and Response Times Using the {R} Package {diffIRT}},
    author = {Dylan Molenaar and Francis Tuerlinckx and Han L. J. {van
      der Maas}},
    journal = {Journal of Statistical Software},
    year = {2015},
    volume = {66},
    number = {4},
    pages = {1--34},
    url = {http://www.jstatsoft.org/v66/i04/},
  }