Package: CDM 8.3-7

CDM: Cognitive Diagnosis Modeling

Functions for cognitive diagnosis modeling and multidimensional item response modeling for dichotomous and polytomous item responses. This package enables the estimation of the DINA and DINO model (Junker & Sijtsma, 2001, <doi:10.1177/01466210122032064>), the multiple group (polytomous) GDINA model (de la Torre, 2011, <doi:10.1007/s11336-011-9207-7>), the multiple choice DINA model (de la Torre, 2009, <doi:10.1177/0146621608320523>), the general diagnostic model (GDM; von Davier, 2008, <doi:10.1348/000711007X193957>), the structured latent class model (SLCA; Formann, 1992, <doi:10.1080/01621459.1992.10475229>) and regularized latent class analysis (Chen, Li, Liu, & Ying, 2017, <doi:10.1007/s11336-016-9545-6>). See George, Robitzsch, Kiefer, Gross, and Uenlue (2017) <doi:10.18637/jss.v074.i02> or Robitzsch and George (2019, <doi:10.1007/978-3-030-05584-4_26>) for further details on estimation and the package structure. For tutorials on how to use the CDM package see George and Robitzsch (2015, <doi:10.20982/tqmp.11.3.p189>) as well as Ravand and Robitzsch (2015).

Authors:Alexander Robitzsch [aut, cre], Thomas Kiefer [aut], Ann Cathrice George [aut], Ali Uenlue [aut]

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Bug tracker:https://github.com/alexanderrobitzsch/cdm/issues

On CRAN:

cognitive-diagnostic-modelsitem-response-theory

100 exports 22 stars 5.18 score 7 dependencies 25 dependents 27 mentions 3.3k downloads

Last updated 1 months agofrom:da0acfeb90

Exports:abs_approxabs_approx_D1cat_pastecdi.klicdm_attach_internal_functioncdm_calc_information_criteriacdm_fa1cdm_fit_normalcdm_matrix1cdm_matrix2cdm_matrixstringcdm_parameter_regularizationcdm_pem_accelerationcdm_pem_acceleration_assign_output_parameterscdm_pem_initscdm_pem_inits_assign_parmlistcdm_penalty_threshold_elnetcdm_penalty_threshold_mcpcdm_penalty_threshold_ridgecdm_penalty_threshold_scadcdm_penalty_threshold_scadL2cdm_penalty_threshold_tlpcdm_penalty_valuescdm_print_summary_callcdm_print_summary_computation_timecdm_print_summary_data_framecdm_print_summary_information_criteriaCDM_rbind_fillCDM_require_namespaceCDM_rmvnormcdm.est.class.accuracycsinkdeltaMethoddindin_identifiabilitydin.deterministicdin.equivalent.classdin.validate.qmatrixdiscrim.indexentropy.lcaequivalent.dinaeval_likelihoodgddgdinagdina.difgdina.waldgdmideal.response.patternIRT_frequencies_defaultIRT_frequencies_wrapperIRT_RMSD_calc_rmsdIRT.anovaIRT.classifyIRT.compareModelsIRT.dataIRT.derivedParametersIRT.expectedCountsIRT.factor.scoresIRT.frequenciesIRT.ICIRT.irfprobIRT.irfprobPlotIRT.itemfitIRT.jackknifeIRT.likelihoodIRT.marginal_posteriorIRT.modelfitIRT.parameterTableIRT.posteriorIRT.predictIRT.repDesignIRT.RMSDIRT.seitem_by_groupitemfit.rmseaitemfit.sx2mcdinamodelfit.cormodelfit.cor.dinmodelfit.cor2numerical_gradientnumerical_Hessiannumerical_Hessian_partialosinkpersonfit.appropriatenessplot_item_masteryreglcasequential.itemssim_modelsim.dinsim.gdinasim.gdina.prepareskill.corskill.polychorskillspace.approximationskillspace.fullskillspace.hierarchyslcasummary_sinkWaldTest

Dependencies:admisclatticeMatrixmvtnormpolycorRcppRcppArmadillo