Package: irtbem2pl 1.0.0
irtbem2pl: Marginalized Bayesian Item Parameter Estimation, 2pl Model IRT
Estimates item parameters of the two-parameter logistic (2PL) model in Item Response Theory (IRT) using the marginal Bayesian modal estimation via the Expectation-Maximization (EM) algorithm. The package calibrates item discrimination and difficulty parameters, yielding results comparable to software like 'BILOG-MG'.
Authors:
irtbem2pl_1.0.0.tar.gz
irtbem2pl_1.0.0.zip(r-4.7-any)irtbem2pl_1.0.0.zip(r-4.6-any)irtbem2pl_1.0.0.zip(r-4.5-any)
irtbem2pl_1.0.0.tgz(r-4.6-any)irtbem2pl_1.0.0.tgz(r-4.5-any)
irtbem2pl_1.0.0.tar.gz(r-4.7-any)irtbem2pl_1.0.0.tar.gz(r-4.6-any)
irtbem2pl_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
irtbem2pl/json (API)
| # Install 'irtbem2pl' in R: |
| install.packages('irtbem2pl', repos = c('https://juanluislegorretatorres.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/juanluislegorretatorres/irtbem2pl/issues
- dat01 - Dichotomous Response Dataset for IRT Calibration
Last updated from:b1f6cd6816. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 91 | ||
| source / vignettes | OK | 161 | ||
| linux-release | NOTE | 83 | ||
| macos-release | NOTE | 80 | ||
| macos-oldrel | NOTE | 86 | ||
| windows-devel | NOTE | 58 | ||
| windows-release | NOTE | 75 | ||
| windows-oldrel | NOTE | 56 | ||
| wasm-release | OK | 73 |
Exports:irtbem2plirtchek2pl
Dependencies:IRTBEMM
