Package: cogirt 1.0.0

cogirt: Cognitive Testing Using Item Response Theory

Psychometrically analyze latent individual differences related to tasks, interventions, or maturational/aging effects in the context of experimental or longitudinal cognitive research using methods first described by Thomas et al. (2020) <doi:10.1177/0013164420919898>.

Authors:Michael Thomas [aut, cre]

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cogirt.pdf |cogirt.html
cogirt/json (API)

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

Bug tracker:https://github.com/mlthom/cogirt/issues

Datasets:
  • cpt - CPT Data
  • ex1 - Simulated Data for a Unidimensional Two-Parameter Item Response Model
  • ex2 - Simulated Data for a Signal Detection Weighted IRT Model
  • ex3 - Simulated Data for a Signal Detection Weighted IRT Model with an Experimental Design
  • ex4 - Simulated Data for a Unidimensional Two-Parameter Item Response Model with Two Measurement Occasions
  • ex5 - Simulated Single Subject Data for a Signal Detection Weighted IRT Model with an Experimental Design
  • flanker - Flanker Data
  • nback - N-Back Data
  • plt - PLT Data
  • sopt - SOPT Data
  • sternberg - Sternberg Data

On CRAN:

4.00 score 2 scripts 13 downloads 6 exports 6 dependencies

Last updated 14 days agofrom:c1bfefcc78. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 09 2025
R-4.5-winOKFeb 09 2025
R-4.5-macOKFeb 09 2025
R-4.5-linuxOKFeb 09 2025
R-4.4-winOKFeb 09 2025
R-4.4-macOKFeb 09 2025
R-4.3-winOKFeb 09 2025
R-4.3-macOKFeb 09 2025

Exports:cog_catcog_cat_simcog_irtdich_response_modeldich_response_simlrt

Dependencies:abindcodalatticeMASSmvtnormnumDeriv

cogirt

Rendered fromCogIRT.Rmdusingknitr::rmarkdownon Feb 09 2025.

Last update: 2025-02-07
Started: 2022-05-30