Optimal Test Design Approach to Fixed and Adaptive Test Construction


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Documentation for package ‘TestDesign’ version 1.3.1

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A B C D E F G I L M N O P R S T misc

-- A --

app Open TestDesign app
array_info_1pl Calculate Fisher information (single item)
array_info_2pl Calculate Fisher information (single item)
array_info_3pl Calculate Fisher information (single item)
array_info_gpc Calculate Fisher information (single item)
array_info_gr Calculate Fisher information (single item)
array_info_pc Calculate Fisher information (single item)
array_p_1pl Calculate item response probability
array_p_2pl Calculate item response probability
array_p_3pl Calculate item response probability
array_p_gpc Calculate item response probability
array_p_gr Calculate item response probability
array_p_pc Calculate item response probability
as.data.frame-method Basic functions for item attribute objects
as.data.frame-method Basic functions for stimulus attribute objects

-- B --

buildConstraints Build constraints (shortcut to other loading functions)

-- C --

c-method Basic operators for constraints objects
c-method Basic operators for item pool objects
calcEscore Calculate expected scores
calcEscore-method Calculate expected scores
calcFisher Calculate Fisher information
calcFisher-method Calculate Fisher information
calcHessian Calculate second derivative of log-likelihood
calcHessian-method Calculate second derivative of log-likelihood
calcJacobian Calculate first derivative of log-likelihood
calcJacobian-method Calculate first derivative of log-likelihood
calcLocation Calculate central location (overall difficulty)
calcLocation-method Calculate central location (overall difficulty)
calcLocation-methods Calculate central location (overall difficulty)
calcLogLikelihood Calculate log-likelihood
calcLogLikelihood-method Calculate log-likelihood
calcProb Calculate item response probabilities
calcProb-method Calculate item response probabilities
calcProb-methods Calculate item response probabilities
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_info_matrix Calculate Fisher information (multiple items)
calc_likelihood Calculate likelihoods
calc_likelihood_function Calculate likelihoods
calc_log_likelihood Calculate likelihoods
calc_log_likelihood_function Calculate likelihoods
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
checkConstraints Check the consistency of constraints and item usage
colnames-method Basic functions for item attribute objects
colnames-method Basic functions for stimulus attribute objects
combineConstraints Basic operators for constraints objects
combineItemPool Basic operators for item pool objects
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
constraints_bayes Bayes dataset
constraints_bayes_data Bayes dataset
constraints_fatigue Fatigue dataset
constraints_fatigue_data Fatigue dataset
constraints_reading Reading dataset
constraints_reading_data Reading dataset
constraints_science Science dataset
constraints_science_data Science dataset
createShadowTestConfig Create a config_Shadow object
createStaticTestConfig Create a config_Static object

-- D --

dataset_bayes Bayes dataset
dataset_fatigue Fatigue dataset
dataset_reading Reading dataset
dataset_science Science dataset
dim-method Basic functions for item attribute objects
dim-method Basic functions for stimulus attribute objects

-- E --

EAP Compute expected a posteriori estimates of theta
eap Compute expected a posteriori estimates of theta
EAP-method Compute expected a posteriori estimates of theta
eap-method Compute expected a posteriori estimates of theta

-- F --

find_segment Classify theta into segments

-- G --

getSolution Print solution items
getSolution-method Print solution items
getSolutionAttributes Retrieve constraints-related attributes from solution

-- I --

info_1pl Calculate Fisher information (single item)
info_2pl Calculate Fisher information (single item)
info_3pl Calculate Fisher information (single item)
info_gpc Calculate Fisher information (single item)
info_gr Calculate Fisher information (single item)
info_item Calculate Fisher information (single item)
info_pc Calculate Fisher information (single item)
iparPosteriorSample Sample item parameter estimates from their posterior distributions
item Item classes
item-classes Item classes
itemattrib_bayes Bayes dataset
itemattrib_bayes_data Bayes dataset
itemattrib_fatigue Fatigue dataset
itemattrib_fatigue_data Fatigue dataset
itemattrib_reading Reading dataset
itemattrib_reading_data Reading dataset
itemattrib_science Science dataset
itemattrib_science_data Science dataset
itemcontent_fatigue_data Fatigue dataset
itempool_bayes Bayes dataset
itempool_bayes_data Bayes dataset
itempool_fatigue Fatigue dataset
itempool_fatigue_data Fatigue dataset
itempool_reading Reading dataset
itempool_reading_data Reading dataset
itempool_science Science dataset
itempool_science_data Science dataset
itempool_se_bayes_data Bayes dataset
item_1PL-class Item classes
item_2PL-class Item classes
item_3PL-class Item classes
item_attrib-class Load item attributes
item_attrib-operators Basic functions for item attribute objects
item_GPC-class Item classes
item_GR-class Item classes
item_PC-class Item classes
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

-- L --

lnHyperPars Calculate hyperparameters for log-normal distribution
loadConstraints Load constraints
loadItemAttrib Load item attributes
loadItemPool Load item pool
loadStAttrib Load set/stimulus/passage attributes
logitHyperPars Calculate hyperparameters for logit-normal distribution

-- M --

makeItemPoolCluster Create an item pool cluster object
makeItemPoolCluster-method Create an item pool cluster object
makeTest Generate a test object
makeTest-method Generate a test object
makeTestCluster Generate a test cluster object
makeTestCluster-method Generate a test cluster object
MLE Compute maximum likelihood estimates of theta
mle Compute maximum likelihood estimates of theta
MLE-method Compute maximum likelihood estimates of theta
mle-method Compute maximum likelihood estimates of theta
mlef Compute maximum likelihood estimates of theta using fence items
mlef-method Compute maximum likelihood estimates of theta using fence items

-- N --

names-method Basic functions for item attribute objects
names-method Basic functions for stimulus attribute objects

-- O --

OAT Open TestDesign app
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 --

plot Extension of plot() for objects in TestDesign package
plot-method Extension of plot() for objects in TestDesign package
print Extension of print() for objects in TestDesign package
print-method Extension of print() for objects in TestDesign package
p_1pl Calculate item response probability
p_2pl Calculate item response probability
p_3pl Calculate item response probability
p_gpc Calculate item response probability
p_gr Calculate item response probability
p_item Calculate item response probability
p_pc Calculate item response probability

-- R --

RE Calculate Relative Errors
resp_fatigue_data Fatigue dataset
RMSE Calculate Root Mean Squared Error
rownames-method Basic functions for item attribute objects
rownames-method Basic functions for stimulus attribute objects
runAssembly Run Test Assembly

-- S --

Shadow Run adaptive test assembly
Shadow-method Run adaptive test assembly
show Extension of show() for objects in TestDesign package
show-method Extension of show() for objects in TestDesign package
simResp Simulate item response data
simResp-method Simulate item response data
Split Split an item pool into partitions
Split-method Split an item pool into partitions
Static Run fixed-form test assembly
Static-method Run fixed-form test assembly
stimattrib_reading Reading dataset
stimattrib_reading_data Reading dataset
st_attrib-class Load set/stimulus/passage attributes
st_attrib-operators Basic functions for stimulus attribute objects
subsetConstraints Basic operators for constraints objects
subsetItemPool Basic operators for item pool objects
subsetTest Basic operators for test objects
summary Extension of summary() for objects in TestDesign package
summary-classes Summary classes
summary-method Extension of summary() for objects in TestDesign package
summary_constraints-class Summary classes
summary_item_attrib-class Summary classes
summary_item_pool-class Summary classes
summary_output_Shadow_all-class Summary classes
summary_output_Static-class Summary classes
summary_st_attrib-class Summary classes

-- T --

test-class Class 'test': data for test assembly
TestDesign Open TestDesign app
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_EB_single 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

-- misc --

+.item_pool Basic operators for item pool objects
-.item_pool Basic operators for item pool objects
==.item_pool Basic operators for item pool objects
==.item_pool_cluster Create an item pool cluster object
[-method Basic operators for constraints objects
[-method Basic functions for item attribute objects
[-method Basic operators for item pool objects
[-method Basic functions for stimulus attribute objects
[-method Basic operators for test objects