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mirtCAT  

Computerized Adaptive Testing with Multidimensional Item Response Theory
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mirtCAT", "1.14")



Attach the package and use:
library("mirtCAT")
Maintained by
Phil Chalmers
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-08-14
Latest Update: 2024-07-12
Description:
Provides tools to generate HTML interfaces for adaptive and non-adaptive tests using the shiny package (Chalmers (2016) ). Suitable for applying unidimensional and multidimensional computerized adaptive tests (CAT) using item response theory methodology and for creating simple questionnaires forms to collect response data directly in R. Additionally, optimal test designs (e.g., "shadow testing") are supported for tests that contain a large number of item selection constraints. Finally, package contains tools useful for performing Monte Carlo simulations for studying test item banks.
How to cite:
Phil Chalmers (2014). mirtCAT: Computerized Adaptive Testing with Multidimensional Item Response Theory. R package version 1.14, https://cran.r-project.org/web/packages/mirtCAT. Accessed 22 Jul. 2026.
Previous versions and publish date:
(2026-07-09 06:30), 0.1 (2014-08-14 22:21), 0.2 (2014-10-15 06:54), 0.3 (2014-12-15 15:24), 0.4.2 (2015-01-25 21:30), 0.4 (2015-01-22 22:34), 0.5 (2015-05-09 23:24), 0.6.1 (2015-11-19 23:47), 0.6 (2015-10-04 23:25), 0.7 (2016-01-21 17:04), 0.8 (2016-02-24 15:59), 0.9 (2016-06-24 09:53), 1.0 (2016-07-26 20:15), 1.1 (2016-09-09 19:59), 1.2.1 (2016-12-01 08:28), 1.2 (2016-11-16 02:13), 1.3 (2017-02-01 01:03), 1.4 (2017-03-02 23:54), 1.5 (2017-05-04 09:17), 1.6.1 (2017-07-26 23:32), 1.7.1 (2018-08-10 09:20), 1.7 (2018-03-11 08:23), 1.8 (2018-10-22 20:50), 1.9.3 (2019-06-28 15:50), 1.10 (2020-07-10 06:50), 1.11 (2021-06-28 20:20), 1.12.2 (2022-08-11 12:10), 1.12 (2021-12-08 21:20), 1.13 (2023-10-17 18:00)
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