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cdCAT  

Computerized Adaptive Testing with Cognitive Diagnostic Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("cdCAT", "0.1.0")



Attach the package and use:
library("cdCAT")
Maintained by
Thiago Miranda
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-15
Latest Update: 2026-06-15
Description:
A session-based engine for cognitive diagnostic computerized adaptive testing (CD-CAT), the application of adaptive testing to cognitive diagnosis models. Three models are supported: the deterministic inputs, noisy "and" gate (DINA), the deterministic inputs, noisy "or" gate (DINO), and the generalized DINA (GDINA) model. Item selection criteria include Kullback-Leibler (KL) information, posterior-weighted Kullback-Leibler (PWKL), modified posterior-weighted Kullback-Leibler (MPWKL), and Shannon entropy (SHE). Latent attribute profiles are estimated by maximum likelihood estimation (MLE), maximum a posteriori (MAP), or expected a posteriori (EAP). Content balancing, item exposure control, and shadow testing are configurable through constraint functions. The implemented methods follow Cheng (2009) <doi:10.1007/s11336-009-9123-2> and de la Torre (2011) <doi:10.1007/s11336-011-9207-7>. Designed for real-time, item-by-item adaptive applications.
How to cite:
Thiago Miranda (2026). cdCAT: Computerized Adaptive Testing with Cognitive Diagnostic Models. R package version 0.1.0, https://cran.r-project.org/web/packages/cdCAT. Accessed 31 Oct. 2026.
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