Description
Simulate IRT-Based Computerized Adaptive Tests.
Description
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.
README.md
catIrt
An R Package for Simulating IRT-Based Computerized Adaptive Tests
The catIrt package contains functions designed to simulate data that conform to basic unidimensional IRT models along with Post-Hoc CAT simulations of those models given various item selection methods, ability estimation methods, and termination criteria.
Within an R session, type (to install a binary package from CRAN)
install.packages("catIrt")
or (to install the most current source package from github)
if(length(find.package("devtools", quiet = TRUE)) == 0)
install.packages("devtools")
devtools::install_github("swnydick/catIrt")
The first two lines of the second code block simply installs the devtools package if R cannot find its location. The devtools package contains the install_github function and is needed to easily install packages from github.