EAP                     Generate expected a posteriori estimates of
                        theta
MLE                     Generate maximum likelihood estimates of theta
OAT                     Launch Shiny app
RE                      Calculate Relative Errors
RMSE                    Calculate Root Mean Squared Error
Shadow                  Run adaptive test assembly.
Static                  Run Static Test Assembly
addTrans                Add transparancy to color
array_info_1pl          Calculate Fisher information at multiple thetas
                        (1PL)
array_info_2pl          Calculate Fisher information at multiple thetas
                        (2PL)
array_info_3pl          Calculate Fisher information at multiple thetas
                        (3PL)
array_info_gpc          Calculate Fisher information at multiple thetas
                        (GPC)
array_info_gr           Calculate Fisher information at multiple thetas
                        (GR)
array_info_pc           Calculate Fisher information at multiple thetas
                        (PC)
array_p_1pl             Calculate probability at multiple thetas (1PL)
array_p_2pl             Calculate probability at multiple thetas (2PL)
array_p_3pl             Calculate probability at multiple thetas (3PL)
array_p_gpc             Calculate probability at multiple thetas (GPC)
array_p_gr              Calculate probability at multiple thetas (GR)
array_p_pc              Calculate probability at multiple thetas (PC)
buildConstraints        Build constraints
calcDerivative          Calculate first derivative
calcDerivative2         Calculate second derivative
calcEscore              Calculate expected scores
calcFisher              Calculate Fisher information
calcHessian             Calculate second derivative of log-likelihood
calcJacobian            Calculate first derivative of log-likelihood
calcLocation            Calculate item location
calcProb                Calculate item response probabilities
calcRP                  Find matching theta to supplied probability
calc_MI_FB              Calculate the mutual information using full
                        Bayesian
calc_info               Calculate the Fisher information matrix for a
                        single theta value and a set of items,
                        potentially with a mixture of different models
calc_info_EB            Calculate the Fisher information using
                        empirical Bayes
calc_info_FB            Calculate the Fisher information using full
                        Bayesian
calc_info_matrix        Calculate the Fisher information matrix for a
                        vector of theta values and a set of items,
                        potentially with a mixture of different models
calc_likelihood         Calculate a likelihood value of theta
calc_likelihood_function
                        Calculate a likelihood function of theta
calc_log_likelihood     Calculate a log-likelihood value of theta
calc_log_likelihood_function
                        Calculate a log-likelihood function of theta
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     createShadowTestConfig
config_Static-class     createStaticTestConfig
constraint-class        An S4 class to represent a single constraint
constraints-class       An S4 class to represent a set of constraints
dataset_fatigue         Fatigue dataset
dataset_reading         Reading dataset
dataset_science         Science dataset
eap                     Generate expected a posteriori estimates of
                        theta
extract-methods         Extract
find_segment            Find the segment to which each theta value
                        belongs
getSolution             Print solution items
info_1pl                Calculate Fisher information at a single theta
                        (1PL)
info_2pl                Calculate Fisher information at a single theta
                        (2PL)
info_3pl                Calculate Fisher information at a single theta
                        (3PL)
info_gpc                Calculate Fisher information at a single theta
                        (GPC).
info_gr                 Calculate Fisher information at a single theta
                        (GR).
info_pc                 Calculate Fisher information at a single theta
                        (PC)
iparPosteriorSample     Sample item parameter estimates from their
                        posterior distributions
item_1PL-class          An S4 class to represent a 1PL item
item_2PL-class          An S4 class to represent a 2PL item
item_3PL-class          An S4 class to represent a 3PL item
item_GPC-class          An S4 class to represent a generalized partial
                        credit item
item_GR-class           An S4 class to represent a graded response item
item_PC-class           An S4 class to represent a partial credit item
item_attrib-class       An S4 class to represent a set of constraints.
item_pool-class         An S4 class to represent an item pool
item_pool.operators     Item pool and pool cluster operators
lnHyperPars             Calculate hyperparameters for log-normal
                        distribution
loadConstraints         Load constraints
loadItemAttrib          Load item attributes
loadItemPool            Load item paramaters
loadStAttrib            Load set/stimulus/passage attributes
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                     Generate maximum likelihood estimates of theta
output_Shadow-class     output_Shadow
p_1pl                   Calculate probability at a single theta (1PL)
p_2pl                   Calculate probability at a single theta (2PL)
p_3pl                   Calculate probability at a single theta (3PL)
p_gpc                   Calculate probability at a single theta (GPC)
p_gr                    Calculate probability at a single theta (GR)
p_pc                    Calculate probability at a single theta (PC)
plotCAT                 Draw an audit trail plot
plotEligibilityStats    Draw item eligibility statistics plots
plotExposure            Draw an item exposure plot
plotExposureRateBySegment
                        Draw exposure rate plots by theta segment
plotExposureRateFinal   Draw exposure rate plots by final theta segment
plotExposureRateFinalFlag
                        Draw item information plots for flagged items
                        by segment
plotInfo                Draw item information plots
plotInfoOverlay         Overlay item information plots
plotRMSE                Draw RMSE plots
plotShadow              Draw a shadow test chart
pool_cluster-class      An S4 class to represent a cluster of item
                        pools
runAssembly             Run Test Assembly
saveOutput              Save or print audit trails
showConstraints         Show constraints
simResp                 Simulate item responses
st_attrib-class         An S4 class to represent a set of constraints.
subsetItemPool          Create a subset of an item pool object
subsetTest              Create a subset of a test object
test-class              An S4 class to represent a test
test_cluster-class      An S4 class to represent a test cluster
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 an empirical Bayes estimate of theta
                        for one examinee
theta_EB_single         Calculate an empirical Bayes estimate of theta
                        for a single item
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
updateConstraints       Update constraints
