meow: Unified Framework for Computer Adaptive Testing Simulations

Provides an extensible framework for conducting simulations to compare data generating processes, item selection algorithms, parameter update algorithms, and stopping rules in computer adaptive testing (CAT) applications. Bundled algorithms include the Elo-based update rules of Klinkenberg, Straatemeier and van der Maas (2011) <doi:10.1016/j.compedu.2011.02.003> and Vermeiren, Kruis, Bolsinova, van der Maas and Hofman (2025) <doi:10.1016/j.caeai.2025.100376>.

Version:	1.0.0
Depends:	R (≥ 3.5)
Imports:	Rfast, stats
Suggests:	ggplot2, knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-07-06
DOI:	10.32614/CRAN.package.meow (may not be active yet)
Author:	Klint Kanopka [aut, cre], Sophia Deng [aut]
Maintainer:	Klint Kanopka <klint.kanopka at nyu.edu>
BugReports:	https://github.com/klintkanopka/meow/issues
License:	MIT + file LICENSE
URL:	https://klintkanopka.com/meow/
NeedsCompilation:	no
Citation:	meow citation info
Materials:	README, NEWS
CRAN checks:	meow results

Documentation:

Reference manual:	meow.html , meow.pdf
Vignettes:	Data Loaders (source, R code) Extending meow: Writing Your Own Modules (source, R code) The meow Workflow: Visualizing Exposure Control Methods (source, R code) Item Selection Functions (source, R code) Maths Garden Update Algorithm (source, R code) Network-Based Item Selection (source, R code) Parameter Update Functions (source, R code) Prowise Learn Update Algorithm (source, R code)

Downloads:

Package source:	meow_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: meow_1.0.0.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): meow_1.0.0.tgz, r-oldrel (arm64): meow_1.0.0.tgz, r-release (x86_64): meow_1.0.0.tgz, r-oldrel (x86_64): meow_1.0.0.tgz

Linking:

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