Package: GLMBasedRaschEstimation 0.0.0.9000

Ahmed Samir Megahed
GLMBasedRaschEstimation: What the Package Does (One Line, Title Case)
What the package does (one paragraph).
Authors:
GLMBasedRaschEstimation_0.0.0.9000.tar.gz
GLMBasedRaschEstimation_0.0.0.9000.zip(r-4.7)GLMBasedRaschEstimation_0.0.0.9000.zip(r-4.6)GLMBasedRaschEstimation_0.0.0.9000.zip(r-4.5)
GLMBasedRaschEstimation_0.0.0.9000.tgz(r-4.6-any)GLMBasedRaschEstimation_0.0.0.9000.tgz(r-4.5-any)
GLMBasedRaschEstimation_0.0.0.9000.tar.gz(r-4.7-any)GLMBasedRaschEstimation_0.0.0.9000.tar.gz(r-4.6-any)
GLMBasedRaschEstimation_0.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GLMBasedRaschEstimation/json (API)
| # Install 'GLMBasedRaschEstimation' in R: |
| install.packages('GLMBasedRaschEstimation', repos = c('https://drahmedsamir.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/drahmedsamir/glmbasedraschestimation/issues
estimationglmglmbasedmethodestimationraschrasch-modelrawscore
Last updated from:5a04f6bdd8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 93 | ||
| source / vignettes | OK | 165 | ||
| linux-release-x86_64 | OK | 92 | ||
| macos-release-arm64 | OK | 193 | ||
| macos-oldrel-arm64 | OK | 184 | ||
| windows-devel | OK | 64 | ||
| windows-release | OK | 60 | ||
| windows-oldrel | OK | 58 | ||
| wasm-release | OK | 119 |
Exports:compute_Modified_probabilitiesextract_rasch_difficulties_orderedfit_binary_irtplot_item_curvesplot_rasch_curvesprepare_datarasch_logit
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute Modified Item Response Probabilities | compute_Modified_probabilities |
| Extract Rasch Item Difficulties in Original Order | extract_rasch_difficulties_ordered |
| Fit Binary IRT Model using GLM | fit_binary_irt |
| Plot Item Characteristic Curves (ICC) | plot_item_curves |
| Plot Rasch Item Curves | plot_rasch_curves |
| Prepare Data for IRT Analysis | prepare_data |
| Compute Logit and Row Means | rasch_logit |