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-4.7)cacIRT_1.4.zip(r-4.6)cacIRT_1.4.zip(r-4.5)
cacIRT_1.4.tgz(r-4.6-any)cacIRT_1.4.tgz(r-4.5-any)
cacIRT_1.4.tar.gz(r-4.7-any)cacIRT_1.4.tar.gz(r-4.6-any)
cacIRT_1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:8fde313520. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 84 | ||
| source / vignettes | OK | 117 | ||
| linux-release-x86_64 | OK | 93 | ||
| macos-release-arm64 | OK | 63 | ||
| macos-oldrel-arm64 | OK | 85 | ||
| windows-devel | OK | 61 | ||
| windows-release | OK | 59 | ||
| windows-oldrel | OK | 61 | ||
| wasm-release | OK | 81 |
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 |
