Package: cacIRT 1.4
cacIRT: Classification Accuracy and Consistency under Item Response Theory
Computes classification accuracy and consistency indices under Item Response Theory. Implements the total score IRT-based methods in Lee, Hanson & Brennen (2002) and Lee (2010), the IRT-based methods in Rudner (2001, 2005), and the total score nonparametric methods in Lathrop & Cheng (2014). For dichotomous and polytomous tests.
Authors:
cacIRT_1.4.tar.gz
cacIRT_1.4.zip(r-4.5)cacIRT_1.4.zip(r-4.4)cacIRT_1.4.zip(r-4.3)
cacIRT_1.4.tgz(r-4.5-any)cacIRT_1.4.tgz(r-4.4-any)cacIRT_1.4.tgz(r-4.3-any)
cacIRT_1.4.tar.gz(r-4.5-noble)cacIRT_1.4.tar.gz(r-4.4-noble)
cacIRT_1.4.tgz(r-4.4-emscripten)cacIRT_1.4.tgz(r-4.3-emscripten)
cacIRT.pdf |cacIRT.html✨
cacIRT/json (API)
| # Install 'cacIRT' in R: |
| install.packages('cacIRT', repos = c('https://quinn-lathrop.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 years agofrom:8fde313520. Checks:8 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 21 2025 |
| R-4.5-win | OK | Feb 21 2025 |
| R-4.5-mac | OK | Feb 21 2025 |
| R-4.5-linux | OK | Feb 21 2025 |
| R-4.4-win | OK | Feb 21 2025 |
| R-4.4-mac | OK | Feb 21 2025 |
| R-4.3-win | OK | Feb 21 2025 |
| R-4.3-mac | OK | Feb 21 2025 |
Exports:class.Leeclass.Rudgen.rec.rawiifirfLee.DLee.PLee.pnrLee.poly.DLee.poly.PMLEnormal.qupnrrecursive.rawRud.DRud.PSEMsimtifTOtable.F
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Classification accuracy and consistency under Item Response Theory | cacIRT-package cacIRT |
| Computes classification accuracy and consistency with Lee's approach. | class.Lee Lee.D Lee.P |
| Computes classification accuracy and consistency with Rudner's approach. | class.Rud Rud.D Rud.P |
| Computes classification accuracy and consistency with Lee's approach for polytomous IRT models. | Lee.poly.D Lee.poly.P |
| Computes classification accuracy and consistency using Lathrop and Cheng's (2014) nonparametric approach. | Lee.pnr pnr |
| Recursive computation of conditional total score | gen.rec.raw recursive.raw |
| A general classification table for computing True accuracy or consistency | TOtable.F |
| A collection of useful IRT functions. | iif irf MLE normal.qu SEM sim tif Useful IRT Functions |
