Function reference • TestDesign

Data loading functions Functions for reading in data
`loadItemPool()`	Load item pool
`loadItemAttrib()`	Load item attributes
`loadStAttrib()`	Load set/stimulus/passage attributes
`loadConstraints()`	Load constraints
`buildConstraints()`	Build constraints (shortcut to other loading functions)
`toggleConstraints()`	Toggle constraints
Test assembly functions Functions for performing test assembly
`createStaticTestConfig()`	Create a config_Static object
`createShadowTestConfig()`	Create a config_Shadow object
`Static()`	Run fixed-form test assembly
`Shadow()`	Run adaptive test assembly
`Split()`	Split an item pool into partitions
Summary functions
`summary(<item_pool>)` `summary(<item_attrib>)` `summary(<st_attrib>)` `summary(<constraints>)` `summary(<output_Static>)` `summary(<output_Shadow_all>)`	Extension of summary() for objects in TestDesign package
`plot(<item_pool>)` `plot(<output_Static>)` `plot(<constraints>)` `plot(<output_Shadow>)` `plot(<output_Shadow_all>)` `plot(<output_Split>)`	Extension of plot() for objects in TestDesign package
`getSolution()`	Print solution items
Web GUI
`TestDesign()`	Open TestDesign app
Datasets
`dataset_science` `itempool_science_data` `itemattrib_science_data` `constraints_science_data` `itempool_science` `itemattrib_science` `constraints_science`	Science dataset
`dataset_reading` `itempool_reading_data` `itemattrib_reading_data` `stimattrib_reading_data` `constraints_reading_data` `itempool_reading` `itemattrib_reading` `stimattrib_reading` `constraints_reading`	Reading dataset
`dataset_fatigue` `itempool_fatigue_data` `itemattrib_fatigue_data` `itemtext_fatigue_data` `constraints_fatigue_data` `resp_fatigue_data` `itempool_fatigue` `itemattrib_fatigue` `constraints_fatigue`	Fatigue dataset
`dataset_bayes` `itempool_bayes_data` `itempool_se_bayes_data` `itemattrib_bayes_data` `constraints_bayes_data` `itempool_bayes` `itemattrib_bayes` `constraints_bayes`	Bayes dataset
Item functions Functions for obtaining item properties
`calcProb()`	Calculate item response probabilities
`calcEscore()`	Calculate expected scores
`calcFisher()`	Calculate Fisher information
`calcJacobian()`	Calculate first derivative of log-likelihood
`calcHessian()`	Calculate second derivative of log-likelihood
Helper functions
`simResp()`	Simulate item response data
`subsetItemPool()` `combineItemPool()` `[`(<item_pool>,<numeric>) `c(<item_pool>)` `+`(<item_pool>) `-`(<item_pool>) `==`(<item_pool>)	Basic operators for item pool objects
`iparPosteriorSample()`	Generate item parameter samples using standard errors
`lnHyperPars()`	Convert mean and standard deviation into log-normal distribution parameters
`logitHyperPars()`	Convert mean and standard deviation into logit-normal distribution parameters
`detectBestSolver()`	Detect best solver
Object classes
`item-classes` `item` `item_1PL-class` `item_2PL-class` `item_3PL-class` `item_PC-class` `item_GPC-class` `item_GR-class`	Item classes
`constraint-class`	Class 'constraint': a single constraint
`constraints-class`	Class 'constraints': a set of constraints
`output_Static-class`	Class 'output_Static': fixed-form assembly solution
`output_Shadow-class`	Class 'output_Shadow': adaptive assembly solution for one simulee
`output_Shadow_all-class`	Class 'output_Shadow_all': a set of adaptive assembly solutions
`output_Split-class`	Class 'output_Split': partitioning solution
C++ functions
`p_1pl()` `p_2pl()` `p_m_2pl()` `p_3pl()` `p_m_3pl()` `p_pc()` `p_gpc()` `p_m_gpc()` `p_gr()` `p_m_gr()` `array_p_1pl()` `array_p_2pl()` `array_p_m_2pl()` `array_p_3pl()` `array_p_m_3pl()` `array_p_pc()` `array_p_gpc()` `array_p_m_gpc()` `array_p_gr()` `array_p_m_gr()`	(C++) Calculate item response probability
`e_1pl()` `e_2pl()` `e_m_2pl()` `e_3pl()` `e_m_3pl()` `e_pc()` `e_gpc()` `e_m_gpc()` `e_gr()` `e_m_gr()` `array_e_1pl()` `array_e_2pl()` `array_e_3pl()` `array_e_pc()` `array_e_gpc()` `array_e_gr()`	(C++) Calculate expected scores
`info_1pl()` `info_2pl()` `info_m_2pl()` `dirinfo_m_2pl()` `thisdirinfo_m_2pl()` `info_3pl()` `info_m_3pl()` `dirinfo_m_3pl()` `thisdirinfo_m_3pl()` `info_pc()` `info_gpc()` `info_m_gpc()` `dirinfo_m_gpc()` `thisdirinfo_m_gpc()` `info_gr()` `info_m_gr()` `dirinfo_m_gr()` `thisdirinfo_m_gr()` `array_info_1pl()` `array_info_2pl()` `array_info_m_2pl()` `array_dirinfo_m_2pl()` `array_thisdirinfo_m_2pl()` `array_info_3pl()` `array_info_m_3pl()` `array_dirinfo_m_3pl()` `array_thisdirinfo_m_3pl()` `array_info_pc()` `array_info_gpc()` `array_info_m_gpc()` `array_dirinfo_m_gpc()` `array_thisdirinfo_m_gpc()` `array_info_gr()` `array_info_m_gr()` `array_dirinfo_m_gr()` `array_thisdirinfo_m_gr()`	(C++) Calculate Fisher information
`j_1pl()` `j_2pl()` `j_m_2pl()` `j_3pl()` `j_m_3pl()` `j_pc()` `j_gpc()` `j_m_gpc()` `j_gr()` `j_m_gr()` `array_j_1pl()` `array_j_2pl()` `array_j_3pl()` `array_j_pc()` `array_j_gpc()` `array_j_gr()`	(C++) Calculate first derivative of log-likelihood
`h_1pl()` `h_2pl()` `h_m_2pl()` `h_3pl()` `h_m_3pl()` `h_pc()` `h_gpc()` `h_m_gpc()` `h_gr()` `h_m_gr()` `array_h_1pl()` `array_h_2pl()` `array_h_3pl()` `array_h_pc()` `array_h_gpc()` `array_h_gr()`	(C++) Calculate second derivative of log-likelihood
`theta_EAP()` `theta_EAP_matrix()`	(C++) Calculate a theta estimate using EAP (expected a posteriori) method
`a_to_alpha()`	Calculate alpha angles from a-parameters

Reference

Data loading functions

Test assembly functions

Summary functions

Web GUI

Datasets

Item functions

Helper functions

Object classes

C++ functions