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 with various item selection methods, ability estimation methods, and termination criteria.
|Author||Steven W. Nydick|
|Date of publication||2014-10-05 07:43:12|
|Maintainer||Steven W. Nydick <email@example.com>|
|License||GPL (>= 2)|
catIrt: Simulate Computerized Adaptive Tests (CATs)
catIrt-package: An R Package for Simulating Computerized Adaptive Tests...
FI: Calculate Expected and Observed Fisher Information for IRT...
itChoose: Choose the Next Item in a CAT
KL: Calculate Kullback-Leibler Divergence for IRT Models
mleEst: Estimate Ability in IRT Models
simIrt: Simulate Responses to IRT Models