swnydick/catIrt: Simulate IRT-Based Computerized Adaptive Tests

Functions designed to simulate data that conform to basic unidimensional IRT models (for now 3-parameter binary response models and graded response models) along with Post-Hoc CAT simulations of those models given various item selection methods, ability estimation methods, and termination criteria. See Wainer (2000) <doi:10.4324/9781410605931>, van der Linden & Pashley (2010) <doi:10.1007/978-0-387-85461-8_1>, and Eggen (1999) <doi:10.1177/01466219922031365> for more details.

Getting started

Package details

MaintainerSteven Nydick <swnydick@gmail.com>
LicenseGPL (>= 2)
Version0.5.1
URL https://github.com/swnydick/catIrt
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("swnydick/catIrt")
swnydick/catIrt documentation built on June 13, 2022, 9:30 p.m.