Package: GPCMlasso 0.2-0
GPCMlasso: Regularized Explanatory Generalized Partial Credit Models
Fits explanatory generalized partial credit models and related ordinal item response models with global and item-specific covariate effects. Penalized marginal maximum likelihood estimation is used for variable selection, detection of differential item functioning, and clustering of item-specific covariate effects by fusion penalties. The package extends the regularization approach for differential item functioning in generalized partial credit models proposed by Schauberger and Mair (2020) <doi:10.3758/s13428-019-01224-2>.
Authors:
GPCMlasso_0.2-0.tar.gz
GPCMlasso_0.2-0.zip(r-4.7-x86_64)GPCMlasso_0.2-0.zip(r-4.7-arm64)GPCMlasso_0.2-0.zip(r-4.6-x86_64)GPCMlasso_0.2-0.zip(r-4.6-arm64)GPCMlasso_0.2-0.zip(r-4.5-x86_64)
GPCMlasso_0.2-0.tgz(r-4.6-x86_64)GPCMlasso_0.2-0.tgz(r-4.6-arm64)GPCMlasso_0.2-0.tgz(r-4.5-x86_64)GPCMlasso_0.2-0.tgz(r-4.5-arm64)
GPCMlasso_0.2-0.tar.gz(r-4.7-arm64)GPCMlasso_0.2-0.tar.gz(r-4.7-x86_64)GPCMlasso_0.2-0.tar.gz(r-4.6-arm64)GPCMlasso_0.2-0.tar.gz(r-4.6-x86_64)
GPCMlasso_0.2-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GPCMlasso/json (API)
| # Install 'GPCMlasso' in R: |
| install.packages('GPCMlasso', repos = c('https://schaubert.r-universe.dev', 'https://cloud.r-project.org')) |
- tenseness - Tenseness Data from the Freiburg Complaint Checklist
- tenseness_small - Subset of Tenseness Data from the Freiburg Complaint Checklist
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:4f881e89aa. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 152 | ||
| linux-devel-x86_64 | OK | 181 | ||
| source / vignettes | OK | 250 | ||
| linux-release-arm64 | OK | 150 | ||
| linux-release-x86_64 | OK | 196 | ||
| macos-release-arm64 | OK | 174 | ||
| macos-release-x86_64 | OK | 468 | ||
| macos-oldrel-arm64 | OK | 143 | ||
| macos-oldrel-x86_64 | OK | 338 | ||
| windows-devel-arm64 | OK | 409 | ||
| windows-devel-x86_64 | OK | 199 | ||
| windows-release-arm64 | OK | 399 | ||
| windows-release-x86_64 | OK | 176 | ||
| windows-oldrel-x86_64 | OK | 152 | ||
| wasm-release | OK | 126 |
Exports:ctrl_GPCMlassoGPCMlassotrait.posterior
Dependencies:admiscaudiobeeprbriocallrcaretclassclicliprclockclustercodetoolscpp11crayoncubaturedata.tabledcurverDerivdescdiagramdiffobjdigestdplyre1071evaluateexpmfarverforeachfsfuturefuture.applygenericsggplot2globalsgluegowerGPArotationgridExtragtablehardhatipredisobanditeratorsjsonliteKernSmoothlabelinglatticelavalifecyclelistenvltmlubridatemagrittrMASSMatrixmgcvmirtModelMetricsmsmmvtnormnlmennetnumDerivotelparallellypbapplypermutepillarpkgbuildpkgconfigpkgloadplyrpolycorpraisepROCprocessxprodlimprogressrproxypspurrrqs2R.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppArmadilloRcppParallelrecipesreshape2rlangrpartrprojrootS7scalessessioninfoshapeSimDesignsparsevctrssplines2SQUAREMstatmodstringfishstringistringrsurvivalTeachingDemostestthattibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsveganviridisLitewaldowithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| GPCMlasso: Regularized Explanatory Generalized Partial Credit Models | GPCMlasso-package |
| Control function for GPCMlasso | ctrl_GPCMlasso |
| Fit Regularized Generalized Partial Credit Models | GPCMlasso |
| Plot function for GPCMlasso | plot.GPCMlasso |
| Predict function for GPCMlasso | predict.GPCMlasso |
| Tenseness Data from the Freiburg Complaint Checklist | tenseness |
| Subset of Tenseness Data from the Freiburg Complaint Checklist | tenseness_small |
| Calculate Posterior Estimates for Trait Parameters | trait.posterior |