Package: measr 1.0.0.9000
measr: Bayesian Psychometric Measurement Using 'Stan'
Estimate diagnostic classification models (also called cognitive diagnostic models) with 'Stan'. Diagnostic classification models are confirmatory latent class models, as described by Rupp et al. (2010, ISBN: 978-1-60623-527-0). Automatically generate 'Stan' code for the general loglinear cognitive diagnostic diagnostic model proposed by Henson et al. (2009) <doi:10.1007/s11336-008-9089-5> and other subtypes that introduce additional model constraints. Using the generated 'Stan' code, estimate the model evaluate the model's performance using model fit indices, information criteria, and reliability metrics.
Authors:
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measr.pdf |measr.html✨
measr/json (API)
NEWS
# Install 'measr' in R: |
install.packages('measr', repos = c('https://wjakethompson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/wjakethompson/measr/issues
- ecpe_data - Examination for the Certificate of Proficiency in English
- ecpe_qmatrix - Examination for the Certificate of Proficiency in English
- mdm_data - MacReady & Dayton (1977) Multiplication Data
- mdm_qmatrix - MacReady & Dayton (1977) Multiplication Data
bayesiancdmcmdstanrcognitive-diagnosiscognitive-diagnostic-modelsdcmdiagnostic-classification-modelspsychometricsrstanstan
Last updated 3 months agofrom:bacc0a799b. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
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Doc / Vignettes | OK | Nov 10 2024 |
R-4.5-win-x86_64 | NOTE | Nov 10 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 10 2024 |
R-4.4-win-x86_64 | NOTE | Nov 10 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 10 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 10 2024 |
R-4.3-win-x86_64 | NOTE | Nov 10 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 10 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 10 2024 |
Exports::=.data%>%add_criterionadd_fitadd_reliabilityadd_respondent_estimatesas_drawsas_labelas_measrfitas_namecreate_profilesdefault_dcm_priorsEenquoenquosfit_m2fit_ppmcget_parametersis_measrfitis_measrpriorloglik_arraylooloo_comparemeasr_dcmmeasr_examplesmeasr_extractmeasrfitmeasrpriorPrpriorprior_prior_stringreliabilityrvar_madrvar_maxrvar_meanrvar_medianrvar_minrvar_prodrvar_sdrvar_sumrvar_varwaic
Dependencies:abindbackportsBHbroomcallrcheckmateclicolorspacecpp11data.tabledcm2descdistributionaldplyrdtplyrfansifarverfsgenericsggplot2glueGPArotationgridExtragtableinlineisobandlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmnormtmodelrmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpspsychpurrrQuickJSRR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrlangrstanrstantoolsscalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr