Man pages for TestDesign
Optimal Test Design Approach to Fixed and Adaptive Test Construction
| a_to_alpha | Calculate alpha angles from a-parameters |
| buildConstraints | Build constraints (shortcut to other loading functions) |
| calcEscore-methods | Calculate expected scores |
| calcFisher-methods | Calculate Fisher information |
| calcHessian-methods | Calculate second derivative of log-likelihood |
| calc_info | (C++) For multiple items, calculate Fisher information |
| calc_info_EB | Calculate the Fisher information using empirical Bayes |
| calc_info_FB | Calculate the Fisher information using full Bayesian |
| calcJacobian-methods | Calculate first derivative of log-likelihood |
| calc_likelihood | (C++) For multiple items, calculate likelihoods |
| calcLocation-methods | Calculate central location (overall difficulty) |
| calcLogLikelihood-methods | Calculate log-likelihood |
| calc_MI_FB | Calculate the mutual information using full Bayesian |
| calc_posterior | Calculate a posterior value of theta |
| calc_posterior_function | Calculate a posterior distribution of theta |
| calc_posterior_single | Calculate a posterior value of theta for a single item |
| calcProb-methods | Calculate item response probabilities |
| checkConstraints | Check the consistency of constraints and item usage |
| constraint-class | Class 'constraint': a single constraint |
| constraints-class | Class 'constraints': a set of constraints |
| constraints-operators | Basic operators for constraints objects |
| createShadowTestConfig | Create a config_Shadow object |
| createStaticTestConfig | Create a config_Static object |
| dataset_bayes | Bayes dataset |
| dataset_fatigue | Fatigue dataset |
| dataset_reading | Reading dataset |
| dataset_science | Science dataset |
| detectBestSolver | Detect best solver |
| eap-methods | Compute expected a posteriori estimates of theta |
| e_item | (C++) Calculate expected scores |
| find_segment | (C++) Classify theta values into segments using cutpoints |
| getSolutionAttributes | Retrieve constraints-related attributes from solution |
| getSolution-methods | Print solution items |
| h_item | (C++) Calculate second derivative of log-likelihood |
| info_item | (C++) Calculate Fisher information |
| iparPosteriorSample | Generate item parameter samples using standard errors |
| item_attrib-operators | Basic functions for item attribute objects |
| item-classes | Item classes |
| item_pool-class | Class 'item_pool': an item pool |
| item_pool_cluster-class | Class 'item_pool_cluster': an item pool |
| item_pool_cluster-operators | Create an item pool cluster object |
| item_pool-operators | Basic operators for item pool objects |
| j_item | (C++) Calculate first derivative of log-likelihood |
| lnHyperPars | Convert mean and standard deviation into log-normal... |
| loadConstraints | Load constraints |
| loadItemAttrib | Load item attributes |
| loadItemPool | Load item pool |
| loadStAttrib | Load set/stimulus/passage attributes |
| logitHyperPars | Convert mean and standard deviation into logit-normal... |
| makeSimulationDataCache-methods | Create a simulation data cache object |
| makeTestCluster-methods | Create a test cluster object |
| makeTest-methods | Create a test object |
| mlef-methods | Compute maximum likelihood estimates of theta using fence... |
| mle-methods | Compute maximum likelihood estimates of theta |
| output_Shadow_all-class | Class 'output_Shadow_all': a set of adaptive assembly... |
| output_Shadow-class | Class 'output_Shadow': adaptive assembly solution for one... |
| output_Split-class | Class 'output_Split': partitioning solution |
| output_Static-class | Class 'output_Static': fixed-form assembly solution |
| p_item | (C++) Calculate item response probability |
| plot-methods | Extension of plot() for objects in TestDesign package |
| print-methods | Extension of print() for objects in TestDesign package |
| RE | Calculate Relative Errors |
| RMSE | Calculate Root Mean Squared Error |
| runAssembly | Run Test Assembly |
| Shadow-methods | Run adaptive test assembly |
| show-methods | Extension of show() for objects in TestDesign package |
| simResp-methods | Simulate item response data |
| simulation_data_cache-class | Class 'simulation_data_cache': data cache for Shadow() |
| Split-methods | Split an item pool into partitions |
| Static-methods | Run fixed-form test assembly |
| st_attrib-operators | Basic functions for stimulus attribute objects |
| summary-classes | Summary classes |
| summary-methods | Extension of summary() for objects in TestDesign package |
| test-class | Class 'test': data cache for simulations |
| test_cluster-class | Class 'test_cluster': data cache for simulations |
| TestDesign | Open TestDesign app |
| TestDesign_alias | Open TestDesign app |
| test_operators | Basic operators for test objects |
| testSolver | Test solver |
| theta_EAP | (C++) Calculate a theta estimate using EAP (expected a... |
| theta_EB | (C++) Calculate a theta estimate using EB (Empirical Bayes)... |
| theta_FB | (C++) Calculate a theta estimate using FB (Full Bayes) method |
| toggleConstraints | Toggle constraints |
