RE                      Calculate Relative Errors
RMSE                    Calculate Root Mean Squared Error
Shadow                  Run adaptive test assembly
Split                   Split an item pool into partitions
Static                  Run fixed-form test assembly
TestDesign              Open TestDesign app
app                     Open TestDesign app
buildConstraints        Build constraints (shortcut to other loading
                        functions)
calcEscore              Calculate expected scores
calcFisher              Calculate Fisher information
calcHessian             Calculate second derivative of log-likelihood
calcJacobian            Calculate first derivative of log-likelihood
calcLocation-methods    Calculate central location (overall difficulty)
calcLogLikelihood       Calculate log-likelihood
calcProb-methods        Calculate item response probabilities
calc_MI_FB              Calculate the mutual information using full
                        Bayesian
calc_info               Calculate Fisher information (multiple items)
calc_info_EB            Calculate the Fisher information using
                        empirical Bayes
calc_info_FB            Calculate the Fisher information using full
                        Bayesian
calc_likelihood         Calculate likelihoods
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
checkConstraints        Check the consistency of constraints and item
                        usage
config_Shadow-class     Create a config_Shadow object
config_Static-class     Create a config_Static object
constraint-class        Class 'constraint': a single constraint
constraints-class       Class 'constraints': a set of constraints
constraints-operators   Basic operators for constraints objects
dataset_bayes           Bayes dataset
dataset_fatigue         Fatigue dataset
dataset_reading         Reading dataset
dataset_science         Science dataset
eap                     Compute expected a posteriori estimates of
                        theta
find_segment            Classify theta into segments
getSolution             Print solution items
getSolutionAttributes   Retrieve constraints-related attributes from
                        solution
info_1pl                Calculate Fisher information (single item)
iparPosteriorSample     Sample item parameter estimates from their
                        posterior distributions
item-classes            Item classes
item_attrib-class       Load item attributes
item_attrib-operators   Basic functions for item attribute objects
item_pool-class         Class 'item_pool': an item pool
item_pool-operators     Basic operators for item pool objects
item_pool_cluster-class
                        Class 'item_pool_cluster': an item pool
lnHyperPars             Calculate hyperparameters for log-normal
                        distribution
loadConstraints         Load constraints
loadItemPool            Load item pool
logitHyperPars          Calculate hyperparameters for logit-normal
                        distribution
makeItemPoolCluster     Create an item pool cluster object
makeTest                Generate a test object
makeTestCluster         Generate a test cluster object
mle                     Compute maximum likelihood estimates of theta
mlef                    Compute maximum likelihood estimates of theta
                        using fence items
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
output_Static-class     Class 'output_Static': fixed-form assembly
                        solution
p_1pl                   Calculate item response probability
plot                    Extension of plot() for objects in TestDesign
                        package
print                   Extension of print() for objects in TestDesign
                        package
runAssembly             Run Test Assembly
show                    Extension of show() for objects in TestDesign
                        package
simResp                 Simulate item response data
st_attrib-class         Load set/stimulus/passage attributes
st_attrib-operators     Basic functions for stimulus attribute objects
summary                 Extension of summary() for objects in
                        TestDesign package
summary-classes         Summary classes
test-class              Class 'test': data for test assembly
testSolver              Test solver
test_cluster-class      Class 'test_cluster': data for test assembly
test_operators          Basic operators for test objects
theta_EAP               Calculate an EAP estimate of theta for one
                        examinee
theta_EAP_matrix        Calculate EAP estimates of theta for a group of
                        examinees
theta_EB                Calculate theta estimates using EB (Empirical
                        Bayes) method
theta_FB                Calculate a fully Bayesian estimate of theta
                        for an examinee
theta_FB_single         Calculate a fully Bayesian estimate of theta
                        for a single item
toggleConstraints       Toggle constraints
