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cIRT  

Choice Item Response Theory
View on CRAN: Click here


Download and install cIRT package within the R console
Install from CRAN:
install.packages("cIRT")

Install from Github:
library("remotes")
install_github("cran/cIRT")

Install by package version:
library("remotes")
install_version("cIRT", "1.3.3")



Attach the package and use:
library("cIRT")
Maintained by
James Joseph Balamuta
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-07
Latest Update: 2022-02-21
Description:
Jointly model the accuracy of cognitive responses and item choices within a Bayesian hierarchical framework as described by Culpepper and Balamuta (2015) . In addition, the package contains the datasets used within the analysis of the paper.
How to cite:
James Joseph Balamuta (2015). cIRT: Choice Item Response Theory. R package version 1.3.3, https://cran.r-project.org/web/packages/cIRT. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:23), 1.0.0 (2015-12-07 00:02), 1.1.0 (2015-12-29 08:22), 1.2.0 (2016-04-13 09:28), 1.2.1 (2017-04-26 07:32), 1.3.0 (2019-01-24 09:30), 1.3.1 (2020-03-23 02:40), 1.3.2 (2022-02-21 21:50)
Other packages that cited cIRT R package
View cIRT citation profile
Other R packages that cIRT depends, imports, suggests or enhances
Complete documentation for cIRT
Functions, R codes and Examples using the cIRT R package
Some associated functions: Generate_Choice . Total_Tabulate . TwoPLChoicemcmc . cIRT-package . cIRT . center_matrix . choice_matrix . direct_sum . payout_matrix . probitHLM . riwishart . rmvnorm . rwishart . survey_data . trial_matrix . 
Some associated R codes: RcppExports.R . cIRT-package.R . data-documentation.R .  Full cIRT package functions and examples
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