Package: cIRT 1.3.2

James Joseph Balamuta

cIRT: Choice Item Response Theory

Jointly model the accuracy of cognitive responses and item choices within a Bayesian hierarchical framework as described by Culpepper and Balamuta (2015) <doi:10.1007/s11336-015-9484-7>. In addition, the package contains the datasets used within the analysis of the paper.

Authors:Steven Andrew Culpepper [aut, cph], James Joseph Balamuta [aut, cph, cre]

cIRT_1.3.2.tar.gz
cIRT_1.3.2.tar.gz(r-4.5-noble)cIRT_1.3.2.tar.gz(r-4.4-noble)
cIRT_1.3.2.tgz(r-4.4-emscripten)cIRT_1.3.2.tgz(r-4.3-emscripten)
cIRT.pdf |cIRT.html✨
cIRT/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/tmsalab/cirt/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

openblascppopenmp

2.84 score 23 scripts 246 downloads 10 exports 2 dependencies

Last updated 3 years agofrom:57bd4b161c. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 27 2024
R-4.5-linux-x86_64NOTENov 27 2024

Exports:center_matrixcIRTdirect_sumGenerate_ChoiceprobitHLMriwishartrmvnormrwishartTotal_TabulateTwoPLChoicemcmc

Dependencies:RcppRcppArmadillo

Estimating the Model in the Paper

Rendered fromEstimating-the-Model-in-the-Paper.Rmdusingknitr::rmarkdownon Nov 27 2024.

Last update: 2020-03-23
Started: 2016-04-13

Package Overview

Rendered fromPackage-Overview.Rmdusingknitr::rmarkdownon Nov 27 2024.

Last update: 2022-02-21
Started: 2016-04-13

Simulation Study with cIRT

Rendered fromSimulation-Study-with-cIRT.Rmdusingknitr::rmarkdownon Nov 27 2024.

Last update: 2020-03-23
Started: 2016-04-13