The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Provides functions for estimating Rasch model parameters using the Generalized Linear Model (GLM) framework. The methods implemented are based on Brown (2018, ISBN:978-3-319-93547-8) <doi:10.1007/978-3-319-93549-2> and Debelak et al. (2022, ISBN:978-1-138-71046-7) <doi:10.1201/9781315200620>.
| Version: | 0.2.0 |
| Imports: | bslib, DT, graphics, haven, readxl, shiny, stats |
| Published: | 2026-05-04 |
| DOI: | 10.32614/CRAN.package.GLMBasedRaschEstimation |
| Author: | Ahmed Samir Megahed [aut, cre], Mustafa Ali Khalaf [aut], Ibraheem Mohamed Mougy [aut] |
| Maintainer: | Ahmed Samir Megahed <Asamir at foe.zu.edu.eg> |
| BugReports: | https://github.com/DrAhmedSamir/GLMBasedRaschEstimation/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/DrAhmedSamir/GLMBasedRaschEstimation |
| NeedsCompilation: | no |
| Citation: | GLMBasedRaschEstimation citation info |
| Materials: | README |
| CRAN checks: | GLMBasedRaschEstimation results |
| Reference manual: | GLMBasedRaschEstimation.html , GLMBasedRaschEstimation.pdf |
| Package source: | GLMBasedRaschEstimation_0.2.0.tar.gz |
| Windows binaries: | r-devel: GLMBasedRaschEstimation_0.2.0.zip, r-release: GLMBasedRaschEstimation_0.1.2.zip, r-oldrel: GLMBasedRaschEstimation_0.2.0.zip |
| macOS binaries: | r-release (arm64): GLMBasedRaschEstimation_0.2.0.tgz, r-oldrel (arm64): GLMBasedRaschEstimation_0.2.0.tgz, r-release (x86_64): GLMBasedRaschEstimation_0.2.0.tgz, r-oldrel (x86_64): GLMBasedRaschEstimation_0.2.0.tgz |
| Old sources: | GLMBasedRaschEstimation archive |
Please use the canonical form https://CRAN.R-project.org/package=GLMBasedRaschEstimation to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.