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Bayesian", "topics": [ "calc_MI_FB" ] }, { "page": "calc_posterior", "title": "Calculate a posterior value of theta", "topics": [ "calc_posterior" ] }, { "page": "calc_posterior_function", "title": "Calculate a posterior distribution of theta", "topics": [ "calc_posterior_function" ] }, { "page": "calc_posterior_single", "title": "Calculate a posterior value of theta for a single item", "topics": [ "calc_posterior_single" ] }, { "page": "calcEscore-methods", "title": "Calculate expected scores", "topics": [ "calcEscore", "calcEscore,item_1PL,matrix-method", "calcEscore,item_1PL,numeric-method", "calcEscore,item_2PL,matrix-method", "calcEscore,item_2PL,numeric-method", "calcEscore,item_3PL,matrix-method", "calcEscore,item_3PL,numeric-method", "calcEscore,item_GPC,matrix-method", "calcEscore,item_GPC,numeric-method", "calcEscore,item_GR,matrix-method", "calcEscore,item_GR,numeric-method", "calcEscore,item_PC,matrix-method", "calcEscore,item_PC,numeric-method", "calcEscore,item_pool,matrix-method", "calcEscore,item_pool,numeric-method", "calcEscore,item_pool_cluster,numeric-method" ] }, { "page": "calcFisher-methods", "title": "Calculate Fisher information", "topics": [ "calcFisher", "calcFisher,item_1PL,matrix-method", "calcFisher,item_1PL,numeric-method", "calcFisher,item_2PL,matrix-method", "calcFisher,item_2PL,numeric-method", "calcFisher,item_3PL,matrix-method", "calcFisher,item_3PL,numeric-method", "calcFisher,item_GPC,matrix-method", "calcFisher,item_GPC,numeric-method", "calcFisher,item_GR,matrix-method", "calcFisher,item_GR,numeric-method", "calcFisher,item_PC,matrix-method", "calcFisher,item_PC,numeric-method", "calcFisher,item_pool,matrix-method", "calcFisher,item_pool,numeric-method", "calcFisher,item_pool_cluster,numeric-method" ] }, { "page": "calcHessian-methods", "title": "Calculate second derivative of log-likelihood", "topics": [ "calcHessian", "calcHessian,item_1PL,matrix,numeric-method", "calcHessian,item_1PL,matrix-method", "calcHessian,item_1PL,numeric,numeric-method", "calcHessian,item_1PL,numeric-method", "calcHessian,item_2PL,matrix,numeric-method", "calcHessian,item_2PL,matrix-method", "calcHessian,item_2PL,numeric,numeric-method", "calcHessian,item_2PL,numeric-method", "calcHessian,item_3PL,matrix,numeric-method", "calcHessian,item_3PL,matrix-method", "calcHessian,item_3PL,numeric,numeric-method", "calcHessian,item_3PL,numeric-method", "calcHessian,item_GPC,matrix,numeric-method", "calcHessian,item_GPC,matrix-method", "calcHessian,item_GPC,numeric,numeric-method", "calcHessian,item_GPC,numeric-method", "calcHessian,item_GR,matrix,numeric-method", "calcHessian,item_GR,matrix-method", "calcHessian,item_GR,numeric,numeric-method", "calcHessian,item_GR,numeric-method", "calcHessian,item_PC,matrix,numeric-method", "calcHessian,item_PC,matrix-method", "calcHessian,item_PC,numeric,numeric-method", "calcHessian,item_PC,numeric-method", "calcHessian,item_pool,numeric,numeric-method", "calcHessian,item_pool,numeric-method", "calcHessian,item_pool_cluster,numeric,list-method", "calcHessian,item_pool_cluster,numeric-method" ] }, { "page": "calcJacobian-methods", "title": "Calculate first derivative of log-likelihood", "topics": [ "calcJacobian", "calcJacobian,item_1PL,matrix,numeric-method", "calcJacobian,item_1PL,matrix-method", "calcJacobian,item_1PL,numeric,numeric-method", "calcJacobian,item_1PL,numeric-method", "calcJacobian,item_2PL,matrix,numeric-method", "calcJacobian,item_2PL,matrix-method", "calcJacobian,item_2PL,numeric,numeric-method", "calcJacobian,item_2PL,numeric-method", "calcJacobian,item_3PL,matrix,numeric-method", "calcJacobian,item_3PL,matrix-method", "calcJacobian,item_3PL,numeric,numeric-method", "calcJacobian,item_3PL,numeric-method", "calcJacobian,item_GPC,matrix,numeric-method", "calcJacobian,item_GPC,matrix-method", "calcJacobian,item_GPC,numeric,numeric-method", "calcJacobian,item_GPC,numeric-method", "calcJacobian,item_GR,matrix,numeric-method", "calcJacobian,item_GR,matrix-method", "calcJacobian,item_GR,numeric,numeric-method", "calcJacobian,item_GR,numeric-method", "calcJacobian,item_PC,matrix,numeric-method", "calcJacobian,item_PC,matrix-method", "calcJacobian,item_PC,numeric,numeric-method", "calcJacobian,item_PC,numeric-method", "calcJacobian,item_pool,numeric,numeric-method", "calcJacobian,item_pool,numeric-method", "calcJacobian,item_pool_cluster,numeric,list-method", "calcJacobian,item_pool_cluster,numeric-method" ] }, { "page": "calcLocation-methods", "title": "Calculate central location (overall difficulty)", "topics": [ "calcLocation", "calcLocation,item_1PL-method", "calcLocation,item_2PL-method", "calcLocation,item_3PL-method", "calcLocation,item_GPC-method", "calcLocation,item_GR-method", "calcLocation,item_PC-method", "calcLocation,item_pool-method", "calcLocation-methods" ] }, { "page": "calcLogLikelihood-methods", "title": "Calculate log-likelihood", "topics": [ "calcLogLikelihood", "calcLogLikelihood,item_pool,matrix,matrix-method", "calcLogLikelihood,item_pool,matrix,numeric-method", "calcLogLikelihood,item_pool,numeric,matrix-method", "calcLogLikelihood,item_pool,numeric,numeric-method" ] }, { "page": "calcProb-methods", "title": "Calculate item response probabilities", "topics": [ "calcProb", "calcProb,item_1PL,matrix-method", "calcProb,item_1PL,numeric-method", "calcProb,item_2PL,matrix-method", "calcProb,item_2PL,numeric-method", "calcProb,item_3PL,matrix-method", "calcProb,item_3PL,numeric-method", "calcProb,item_GPC,matrix-method", "calcProb,item_GPC,numeric-method", "calcProb,item_GR,matrix-method", "calcProb,item_GR,numeric-method", "calcProb,item_PC,matrix-method", "calcProb,item_PC,numeric-method", "calcProb,item_pool,matrix-method", "calcProb,item_pool,numeric-method", "calcProb,item_pool_cluster,numeric-method", "calcProb-methods" ] }, { "page": "calculateAdaptivityMeasures", "title": "Calculate Adaptivity Measures", "topics": [ "calculateAdaptivityMeasures" ] }, { "page": "checkConstraints", "title": "Check the consistency of constraints and item usage", "topics": [ "checkConstraints" ] }, { "page": "createShadowTestConfig", "title": "Create a config_Shadow object", "topics": [ "config_Shadow-class", "createShadowTestConfig" ] }, { "page": "createStaticTestConfig", "title": "Create a config_Static object", "topics": [ "config_Static-class", "createStaticTestConfig" ] }, { "page": "constraint-class", "title": "Class 'constraint': a single constraint", "topics": [ "constraint-class" ] }, { "page": "constraints-class", "title": "Class 'constraints': a set of constraints", "topics": [ "constraints-class" ] }, { "page": "constraints-operators", "title": "Basic operators for constraints objects", "topics": [ "c,constraints-method", "combineConstraints", "constraints-operators", "subsetConstraints", "[,constraints,numeric,ANY,ANY-method", "[,constraints,numeric-method" ] }, { "page": "dataset_bayes", "title": "Bayes dataset", "topics": [ "constraints_bayes", "constraints_bayes_data", "dataset_bayes", "itemattrib_bayes", "itemattrib_bayes_data", "itempool_bayes", "itempool_bayes_data", "itempool_se_bayes_data" ] }, { "page": "dataset_fatigue", "title": "Fatigue dataset", "topics": [ "constraints_fatigue", "constraints_fatigue_data", "dataset_fatigue", "itemattrib_fatigue", "itemattrib_fatigue_data", "itempool_fatigue", "itempool_fatigue_data", "itemtext_fatigue_data", "resp_fatigue_data" ] }, { "page": "dataset_reading", "title": "Reading dataset", "topics": [ "constraints_reading", "constraints_reading_data", "dataset_reading", "itemattrib_reading", "itemattrib_reading_data", "itempool_reading", "itempool_reading_data", "stimattrib_reading", "stimattrib_reading_data" ] }, { "page": "dataset_science", "title": "Science dataset", "topics": [ "constraints_science", "constraints_science_data", "dataset_science", "itemattrib_science", "itemattrib_science_data", "itempool_science", "itempool_science_data" ] }, { "page": "detectBestSolver", "title": "Detect best solver", "topics": [ "detectBestSolver" ] }, { "page": "e_item", "title": "(C++) Calculate expected scores", "topics": [ "array_e_1pl", "array_e_2pl", "array_e_3pl", "array_e_gpc", "array_e_gr", "array_e_pc", "e_1pl", "e_2pl", "e_3pl", "e_gpc", "e_gr", "e_item", "e_m_2pl", "e_m_3pl", "e_m_gpc", "e_m_gr", "e_pc" ] }, { "page": "eap-methods", "title": "Compute expected a posteriori estimates of theta", "topics": [ "EAP", "eap", "eap,item_pool-method", "EAP,test-method", "EAP,test_cluster-method" ] }, { "page": "find_segment", "title": "(C++) Classify theta values into segments using cutpoints", "topics": [ "find_segment" ] }, { "page": "getScoreAttributes", "title": "Retrieve constraints-related scores from solution", "topics": [ "getScoreAttributes" ] }, { "page": "getSolution-methods", "title": "Print solution items", "topics": [ "getSolution", "getSolution,list-method", "getSolution,output_Static-method" ] }, { "page": "getSolutionAttributes", "title": "Retrieve constraints-related attributes from solution", "topics": [ "getSolutionAttributes" ] }, { "page": "h_item", "title": "(C++) Calculate second derivative of log-likelihood", "topics": [ "array_h_1pl", "array_h_2pl", "array_h_3pl", "array_h_gpc", "array_h_gr", "array_h_pc", "h_1pl", "h_2pl", "h_3pl", "h_gpc", "h_gr", "h_item", "h_m_2pl", "h_m_3pl", "h_m_gpc", "h_m_gr", "h_pc" ] }, { "page": "info_item", "title": "(C++) Calculate Fisher information", "topics": [ "array_dirinfo_m_2pl", "array_dirinfo_m_3pl", "array_dirinfo_m_gpc", "array_dirinfo_m_gr", "array_info_1pl", "array_info_2pl", "array_info_3pl", "array_info_gpc", "array_info_gr", "array_info_m_2pl", "array_info_m_3pl", "array_info_m_gpc", "array_info_m_gr", "array_info_pc", "array_thisdirinfo_m_2pl", "array_thisdirinfo_m_3pl", "array_thisdirinfo_m_gpc", "array_thisdirinfo_m_gr", "dirinfo_m_2pl", "dirinfo_m_3pl", "dirinfo_m_gpc", "dirinfo_m_gr", "info_1pl", "info_2pl", "info_3pl", "info_gpc", "info_gr", "info_item", "info_m_2pl", "info_m_3pl", "info_m_gpc", "info_m_gr", "info_pc", "thisdirinfo_m_2pl", "thisdirinfo_m_3pl", "thisdirinfo_m_gpc", "thisdirinfo_m_gr" ] }, { "page": "iparPosteriorSample", "title": "Generate item parameter samples for Bayesian purposes", "topics": [ "iparPosteriorSample" ] }, { "page": "loadItemAttrib", "title": "Load item attributes", "topics": [ "item_attrib-class", "loadItemAttrib" ] }, { "page": "item_attrib-operators", "title": "Basic functions for item attribute objects", "topics": [ "as.data.frame,item_attrib-method", "colnames,item_attrib-method", "dim,item_attrib-method", "item_attrib-operators", "names,item_attrib-method", "rownames,item_attrib-method", "[,item_attrib,numeric,ANY,ANY-method", "[,item_attrib,numeric-method" ] }, { "page": "item_pool_cluster-class", "title": "Class 'item_pool_cluster': an item pool", "topics": [ "item_pool_cluster-class" ] }, { "page": "item_pool-class", "title": "Class 'item_pool': an item pool", "topics": [ "item_pool-class" ] }, { "page": "item_pool-operators", "title": "Basic operators for item pool objects", "topics": [ "+.item_pool", "-.item_pool", "==.item_pool", "c,item_pool-method", "combineItemPool", "item_pool-operators", "subsetItemPool", "[,item_pool,numeric,ANY,ANY-method", "[,item_pool,numeric-method" ] }, { "page": "item-classes", "title": "Item classes", "topics": [ "item", "item-classes", "item_1PL-class", "item_2PL-class", "item_3PL-class", "item_GPC-class", "item_GR-class", "item_PC-class" ] }, { "page": "j_item", "title": "(C++) Calculate first derivative of log-likelihood", "topics": [ "array_j_1pl", "array_j_2pl", "array_j_3pl", "array_j_gpc", "array_j_gr", "array_j_pc", "j_1pl", "j_2pl", "j_3pl", "j_gpc", "j_gr", "j_item", "j_m_2pl", "j_m_3pl", "j_m_gpc", "j_m_gr", "j_pc" ] }, { "page": "lnHyperPars", "title": "Convert mean and standard deviation into log-normal distribution parameters", "topics": [ "lnHyperPars" ] }, { "page": "loadConstraints", "title": "Load constraints", "topics": [ "loadConstraints" ] }, { "page": "loadItemPool", "title": "Load item pool", "topics": [ "loadItemPool" ] }, { "page": "logitHyperPars", "title": "Convert mean and standard deviation into logit-normal distribution parameters", "topics": [ "logitHyperPars" ] }, { "page": "makeConstraintsByEachPartition", "title": "make constraints objects from Split() solution indices", "topics": [ "makeConstraintsByEachPartition" ] }, { "page": "item_pool_cluster-operators", "title": "Create an item pool cluster object", "topics": [ "==.item_pool_cluster", "makeItemPoolCluster", "makeItemPoolCluster,item_pool-method" ] }, { "page": "makeSimulationDataCache-methods", "title": "Create a simulation data cache object", "topics": [ "makeSimulationDataCache", "makeSimulationDataCache,item_pool-method" ] }, { "page": "makeTest-methods", "title": "Create a test object", "topics": [ "makeTest", "makeTest,item_pool-method" ] }, { "page": "makeTestCluster-methods", "title": "Create a test cluster object", "topics": [ "makeTestCluster", "makeTestCluster,item_pool_cluster,numeric,list-method", "makeTestCluster,item_pool_cluster,numeric,numeric-method" ] }, { "page": "mle-methods", "title": "Compute maximum likelihood estimates of theta", "topics": [ "MLE", "mle", "mle,item_pool-method", "MLE,test-method", "MLE,test_cluster-method" ] }, { "page": "mlef-methods", "title": "Compute maximum likelihood estimates of theta using fence items", "topics": [ "mlef", "mlef,item_pool-method" ] }, { "page": "output_Shadow_all-class", "title": "Class 'output_Shadow_all': a set of adaptive assembly solutions", "topics": [ "output_Shadow_all-class" ] }, { "page": "output_Shadow-class", "title": "Class 'output_Shadow': adaptive assembly solution for one simulee", "topics": [ "output_Shadow-class" ] }, { "page": "output_Split-class", "title": "Class 'output_Split': partitioning solution", "topics": [ "output_Split-class" ] }, { "page": "output_Static-class", "title": "Class 'output_Static': fixed-form assembly solution", "topics": [ "output_Static-class" ] }, { "page": "p_item", "title": "(C++) Calculate item response probability", "topics": [ "array_p_1pl", "array_p_2pl", "array_p_3pl", "array_p_gpc", "array_p_gr", "array_p_m_2pl", "array_p_m_3pl", "array_p_m_gpc", "array_p_m_gr", "array_p_pc", "p_1pl", "p_2pl", "p_3pl", "p_gpc", "p_gr", "p_item", "p_m_2pl", "p_m_3pl", "p_m_gpc", "p_m_gr", "p_pc" ] }, { "page": "plot-methods", "title": "Extension of plot() for objects in TestDesign package", "topics": [ "plot", "plot,constraints-method", "plot,item_pool-method", "plot,output_Shadow-method", "plot,output_Shadow_all-method", "plot,output_Split-method", "plot,output_Static-method" ] }, { "page": "print-methods", "title": "Extension of print() for objects in TestDesign package", "topics": [ "print", "print,config_Shadow-method", "print,config_Static-method", "print,constraints-method", "print,exposure_rate_plot-method", "print,item_1PL-method", "print,item_2PL-method", "print,item_3PL-method", "print,item_attrib-method", "print,item_GPC-method", "print,item_GR-method", "print,item_PC-method", "print,item_pool-method", "print,output_Shadow-method", "print,output_Shadow_all-method", "print,output_Static-method", "print,st_attrib-method", "print,summary_constraints-method", "print,summary_item_attrib-method", "print,summary_item_pool-method", "print,summary_output_Shadow_all-method", "print,summary_output_Static-method", "print,summary_st_attrib-method" ] }, { "page": "RE", "title": "Calculate Relative Errors", "topics": [ "RE" ] }, { "page": "RMSE", "title": "Calculate Root Mean Squared Error", "topics": [ "RMSE" ] }, { "page": "Shadow-methods", "title": "Run adaptive test assembly", "topics": [ "Shadow", "Shadow,config_Shadow-method" ] }, { "page": "show-methods", "title": "Extension of show() for objects in TestDesign package", "topics": [ "show", "show,config_Shadow-method", "show,config_Static-method", "show,constraints-method", "show,exposure_rate_plot-method", "show,item_1PL-method", "show,item_2PL-method", "show,item_3PL-method", "show,item_attrib-method", "show,item_GPC-method", "show,item_GR-method", "show,item_PC-method", "show,item_pool-method", "show,item_pool_cluster-method", "show,output_Shadow-method", "show,output_Shadow_all-method", "show,output_Static-method", "show,pool_cluster-method", "show,st_attrib-method", "show,summary_constraints-method", "show,summary_item_attrib-method", "show,summary_item_pool-method", "show,summary_output_Shadow_all-method", "show,summary_output_Static-method", "show,summary_st_attrib-method" ] }, { "page": "simResp-methods", "title": "Simulate item response data", "topics": [ "simResp", "simResp,item_1PL,matrix-method", "simResp,item_1PL,numeric-method", "simResp,item_2PL,matrix-method", "simResp,item_2PL,numeric-method", "simResp,item_3PL,matrix-method", "simResp,item_3PL,numeric-method", "simResp,item_GPC,matrix-method", "simResp,item_GPC,numeric-method", "simResp,item_GR,matrix-method", "simResp,item_GR,numeric-method", "simResp,item_PC,matrix-method", "simResp,item_PC,numeric-method", "simResp,item_pool,matrix-method", "simResp,item_pool,numeric-method", "simResp,item_pool_cluster,list-method", "simResp,item_pool_cluster,numeric-method" ] }, { "page": "simulation_data_cache-class", "title": "Class 'simulation_data_cache': data cache for Shadow()", "topics": [ "simulation_data_cache-class" ] }, { "page": "Split-methods", "title": "Split an item pool into partitions", "topics": [ "Split", "Split,config_Static-method" ] }, { "page": "loadStAttrib", "title": "Load set/stimulus/passage attributes", "topics": [ "loadStAttrib", "st_attrib-class" ] }, { "page": "st_attrib-operators", "title": "Basic functions for stimulus attribute objects", "topics": [ "as.data.frame,st_attrib-method", "colnames,st_attrib-method", "dim,st_attrib-method", "names,st_attrib-method", "rownames,st_attrib-method", "st_attrib-operators", "[,st_attrib,numeric,ANY,ANY-method", "[,st_attrib,numeric-method" ] }, { "page": "Static-methods", "title": "Run fixed-form test assembly", "topics": [ "Static", "Static,config_Static-method" ] }, { "page": "summary-methods", "title": "Extension of summary() for objects in TestDesign package", "topics": [ "summary", "summary,constraints-method", "summary,item_attrib-method", "summary,item_pool-method", "summary,output_Shadow_all-method", "summary,output_Static-method", "summary,st_attrib-method" ] }, { "page": "summary-classes", "title": "Summary classes", "topics": [ "summary-classes", "summary_constraints-class", "summary_item_attrib-class", "summary_item_pool-class", "summary_output_Shadow-class", "summary_output_Shadow_all-class", "summary_output_Static-class", "summary_st_attrib-class" ] }, { "page": "test_cluster-class", "title": "Class 'test_cluster': data cache for simulations", "topics": [ "test_cluster-class" ] }, { "page": "test_operators", "title": "Basic operators for test objects", "topics": [ "subsetTest", "test_operators", "[,test,ANY-method", "[,test,numeric,ANY,ANY-method" ] }, { "page": "test-class", "title": "Class 'test': data cache for simulations", "topics": [ "test-class" ] }, { "page": "TestDesign", "title": "Open TestDesign app", "topics": [ "TestDesign" ] }, { "page": "testSolver", "title": "Test solver", "topics": [ "testSolver" ] }, { "page": "theta_EAP", "title": "(C++) Calculate a theta estimate using EAP (expected a posteriori) method", "topics": [ "theta_EAP", "theta_EAP_matrix" ] }, { "page": "theta_EB", "title": "(C++) Calculate a theta estimate using EB (Empirical Bayes) method", "topics": [ "theta_EB", "theta_EB_single" ] }, { "page": "theta_FB", "title": "(C++) Calculate a theta estimate using FB (Full Bayes) method", "topics": [ "theta_FB", "theta_FB_single" ] }, { "page": "toggleConstraints", "title": "Toggle constraints", "topics": [ 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