cacIRT

Author: Quinn Lathrop
Contact: https://cran.r-project.org/web/packages/cacIRT
Description: The R package cacIRT computes classification accuracy (CA) and consistency (CC) following the approach proposed by Lee (2010) or the approach proposed by Rudner (2005). While implementations of both approaches are available from the respective authors as stand-alone programs, cacIRT provides both in a unified framework within R. In addition, procedures based on Rudner's approach are extended beyond the sample-based CA index by including a CC index and an option for distributional marginalization (called the D method, see Lee, 2010).
Analyses: Equating
System Requirements: Windows, Mac OS, & Linux
Measurement Model: IRT/Rasch
License Type: Open-Source (R)
Documentation: User manual in pdf