Package: Qval 1.0.0
Haijiang Qin
Qval: The Q-Matrix Validation Methods Framework
Provide a variety of Q-matrix validation methods for the generalized cognitive diagnosis models, including the method based on the generalized deterministic input, noisy, and gate model (G-DINA) by de la Torre (2011) <doi:10.1007/s11336-011-9207-7> discrimination index (the GDI method) by de la Torre and Chiu (2016) <doi:10.1007/s11336-015-9467-8>, the step-wise Wald test method (the Wald method) by Ma and de la Torre (2020) <doi:10.1111/bmsp.12156>, the Hull method by Najera et al. (2021) <doi:10.1111/bmsp.12228>, the multiple logistic regression‑based Q‑matrix validation method (the MLR-B method) by Tu et al. (2022) <doi:10.3758/s13428-022-01880-x>. Different research methods during Q-matrix validating are available.
Authors:
Qval_1.0.0.tar.gz
Qval_1.0.0.tar.gz(r-4.5-noble)Qval_1.0.0.tar.gz(r-4.4-noble)
Qval_1.0.0.tgz(r-4.4-emscripten)Qval_1.0.0.tgz(r-4.3-emscripten)
Qval.pdf |Qval.html✨
Qval/json (API)
NEWS
| # Install 'Qval' in R: |
| install.packages('Qval', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 27 days agofrom:f50789def9. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 21 2024 |
| R-4.5-linux | OK | Sep 21 2024 |
Exports:CDMfitget.Mmatrixget.priorityget.PVAFget.R2get.Rmatrixsim.datasim.MQsim.QvalidationWald.testzOSRzQRRzTNRzTPRzUSRzVRR
Dependencies:alabamabase64encbslibcachemclicodetoolscolorspacecommonmarkcrayondigestfansifarverfastmapfontawesomeforeachfsGDINAggplot2glmnetgluegtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmenloptrnumDerivpillarpkgconfigplyrpromisesR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenrlangRsolnpsassscalesshapeshinyshinydashboardsourcetoolssurvivaltibbletruncnormutf8vctrsviridisLitewithrxtable
