Man pages for TestDesign
Optimal Test Design Approach to Fixed and Adaptive Test Construction

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array_info_1plCalculate Fisher information at multiple thetas (1PL)
array_info_2plCalculate Fisher information at multiple thetas (2PL)
array_info_3plCalculate Fisher information at multiple thetas (3PL)
array_info_gpcCalculate Fisher information at multiple thetas (GPC)
array_info_grCalculate Fisher information at multiple thetas (GR)
array_info_pcCalculate Fisher information at multiple thetas (PC)
array_p_1plCalculate probability at multiple thetas (1PL)
array_p_2plCalculate probability at multiple thetas (2PL)
array_p_3plCalculate probability at multiple thetas (3PL)
array_p_gpcCalculate probability at multiple thetas (GPC)
array_p_grCalculate probability at multiple thetas (GR)
array_p_pcCalculate probability at multiple thetas (PC)
buildConstraintsBuild constraints
calcDerivative2-methodsCalculate second derivative
calcDerivative-methodsCalculate first derivative
calcEscore-methodsCalculate expected scores
calcFisher-methodsCalculate Fisher information
calcHessian-methodsCalculate second derivative of log-likelihood
calc_infoCalculate the Fisher information matrix for a single theta...
calc_info_EBCalculate the Fisher information using empirical Bayes
calc_info_FBCalculate the Fisher information using full Bayesian
calc_info_matrixCalculate the Fisher information matrix for a vector of theta...
calcJacobian-methodsCalculate first derivative of log-likelihood
calc_likelihoodCalculate a likelihood value of theta
calc_likelihood_functionCalculate a likelihood function of theta
calcLocation-methodsCalculate item location
calc_log_likelihoodCalculate a log-likelihood value of theta
calc_log_likelihood_functionCalculate a log-likelihood function of theta
calc_MI_FBCalculate the mutual information using full Bayesian
calc_posteriorCalculate a posterior value of theta
calc_posterior_functionCalculate a posterior distribution of theta
calc_posterior_singleCalculate a posterior value of theta for a single item
calcProb-methodsCalculate item response probabilities
calcRPFind matching theta to supplied probability
checkConstraintsCheck the consistency of constraints and item usage
constraint-classAn S4 class to represent a single constraint
constraints-classAn S4 class to represent a set of constraints
createShadowTestConfigcreateShadowTestConfig
createStaticTestConfigcreateStaticTestConfig
dataset_fatigueFatigue dataset
dataset_readingReading dataset
dataset_scienceScience dataset
eaparray-methodsGenerate expected a posteriori estimates of theta
eap-methodsGenerate expected a posteriori estimates of theta
extract-methodsExtract
find_segmentFind the segment to which each theta value belongs
info_1plCalculate Fisher information at a single theta (1PL)
info_2plCalculate Fisher information at a single theta (2PL)
info_3plCalculate Fisher information at a single theta (3PL)
info_gpcCalculate Fisher information at a single theta (GPC).
info_grCalculate Fisher information at a single theta (GR).
info_pcCalculate Fisher information at a single theta (PC)
iparPosteriorSampleSample item parameter estimates from their posterior...
item_1PL-classAn S4 class to represent a 1PL item
item_2PL-classAn S4 class to represent a 2PL item
item_3PL-classAn S4 class to represent a 3PL item
item_attrib-classAn S4 class to represent a set of constraints.
item_GPC-classAn S4 class to represent a generalized partial credit item
item_GR-classAn S4 class to represent a graded response item
item_PC-classAn S4 class to represent a partial credit item
item_pool-classAn S4 class to represent an item pool
item_pool.operatorsItem pool and pool cluster operators
lnHyperParsCalculate hyperparameters for log-normal distribution
loadConstraintsLoad constraints
loadItemAttribLoad item attributes
loadItemPoolLoad item paramaters
loadStAttribLoad set/stimulus/passage attributes
logitHyperParsCalculate hyperparameters for logit-normal distribution
makeItemPoolClusterCreate an item pool cluster object
makeTestCluster-methodsGenerate a test cluster object
makeTest-methodsGenerate a test object
mlearray-methodsGenerate maximum likelihood estimates of theta
mle-methodsGenerate maximum likelihood estimates of theta
OATLaunch Shiny app
output_Shadow-classoutput_Shadow
p_1plCalculate probability at a single theta (1PL)
p_2plCalculate probability at a single theta (2PL)
p_3plCalculate probability at a single theta (3PL)
p_gpcCalculate probability at a single theta (GPC)
p_grCalculate probability at a single theta (GR)
plotCAT-methodsDraw an audit trail plot
plotEligibilityStatsDraw item eligibility statistics plots
plotExposure-methodsDraw an item exposure plot
plotExposureRateBySegmentDraw exposure rate plots by theta segment
plotExposureRateFinalDraw exposure rate plots by final theta segment
plotExposureRateFinalFlagDraw item information plots for flagged items by segment
plotInfo-methodsDraw item information plots
plotInfoOverlayOverlay item information plots
plotRMSEDraw RMSE plots
plotShadow-methodsDraw a shadow test chart
pool_cluster-classAn S4 class to represent a cluster of item pools
p_pcCalculate probability at a single theta (PC)
RECalculate Relative Errors
RMSECalculate Root Mean Squared Error
runAssemblyRun Test Assembly
saveOutputSave or print audit trails
Shadow-methodsRun adaptive test assembly.
simResp-methodsSimulate item responses
Static-methodsRun Static Test Assembly
st_attrib-classAn S4 class to represent a set of constraints.
subsetItemPoolCreate a subset of an item pool object
subsetTestCreate a subset of a test object
test-classAn S4 class to represent a test
test_cluster-classAn S4 class to represent a test cluster
theta_EAPCalculate an EAP estimate of theta for one examinee
theta_EAP_matrixCalculate EAP estimates of theta for a group of examinees
theta_EBCalculate an empirical Bayes estimate of theta for one...
theta_EB_singleCalculate an empirical Bayes estimate of theta for a single...
theta_FBCalculate a fully Bayesian estimate of theta for an examinee
theta_FB_singleCalculate a fully Bayesian estimate of theta for a single...
updateConstraintsUpdate constraints
TestDesign documentation built on Nov. 5, 2019, 1:07 a.m.