cranhaven. See also theR-universe documentation.Package: InDisc 1.1.0
David Navarro-Gonzalez
InDisc: Obtaining and Estimating Unidimensional and Multidimensional IRT Dual Models
Performs a unified approach for obtaining and estimating unidimensional and multidimensional Item Response Theory (IRT) Dual Models (DMs), proposed by Ferrando (2019 <doi:10.1177/0146621618817779>).
Authors:
InDisc_1.1.0.tar.gz
InDisc_1.1.0.zip(r-4.5)InDisc_1.1.0.zip(r-4.4)InDisc_1.1.0.zip(r-4.3)
InDisc_1.1.0.tgz(r-4.5-any)InDisc_1.1.0.tgz(r-4.4-any)InDisc_1.1.0.tgz(r-4.3-any)
InDisc_1.1.0.tar.gz(r-4.5-noble)InDisc_1.1.0.tar.gz(r-4.4-noble)
InDisc_1.1.0.tgz(r-4.4-emscripten)InDisc_1.1.0.tgz(r-4.3-emscripten)
InDisc.pdf |InDisc.html✨
InDisc/json (API)
| # Install 'InDisc' in R: |
| install.packages('InDisc', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues
- CTAC35 - CTAC 35 database.
Last updated 16 hours agofrom:3a24940da5 (on package/InDisc). Checks:6 OK, 3 NOTE. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Apr 01 2025 |
| R-4.5-win | NOTE | Apr 01 2025 |
| R-4.5-mac | NOTE | Apr 01 2025 |
| R-4.5-linux | NOTE | Apr 01 2025 |
| R-4.4-win | OK | Apr 01 2025 |
| R-4.4-mac | OK | Apr 01 2025 |
| R-4.4-linux | OK | Apr 01 2025 |
| R-4.3-win | OK | Apr 01 2025 |
| R-4.3-mac | OK | Apr 01 2025 |
Exports:betagradmchiscreanchicreanodoseap17ceap17geap17gtheapmulc2eapmulc3eapmulc4eapmulg2eapmulg3eapmulg4eapmulthc2eapmulthc3eapmulthc4eapth17cgenerbetaInDisclrtestlrtestmlrtsegpcongpcongmulpriorgralpriormulreap17creap17greapmulcreapmulgreapmulthcreapth17creapth17grlrtesgrlrtestrlrtestmrthressizethres3thres4thres5thresdicthresholdstransposeverosi2
Dependencies:GPArotationlatticematrixStatsmnormtnlmepsych
