Optimal Test Design Approach to Fixed and Adaptive Test Construction

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 |

calcDerivative2-methods | Calculate second derivative |

calcDerivative-methods | Calculate first derivative |

calcEscore-methods | Calculate expected scores |

calcFisher-methods | Calculate Fisher information |

calcHessian-methods | Calculate second derivative of log-likelihood |

calc_info | Calculate the Fisher information matrix for a single theta... |

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... |

calcJacobian-methods | Calculate first derivative of log-likelihood |

calc_likelihood | Calculate a likelihood value of theta |

calc_likelihood_function | Calculate a likelihood function of theta |

calcLocation-methods | Calculate item location |

calc_log_likelihood | Calculate a log-likelihood value of theta |

calc_log_likelihood_function | Calculate a log-likelihood function of theta |

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 |

calcProb-methods | Calculate item response probabilities |

calcRP | Find matching theta to supplied probability |

checkConstraints | Check the consistency of constraints and item usage |

constraint-class | An S4 class to represent a single constraint |

constraints-class | An S4 class to represent a set of constraints |

createShadowTestConfig | createShadowTestConfig |

createStaticTestConfig | createStaticTestConfig |

dataset_fatigue | Fatigue dataset |

dataset_reading | Reading dataset |

dataset_science | Science dataset |

eaparray-methods | Generate expected a posteriori estimates of theta |

eap-methods | Generate expected a posteriori estimates of theta |

extract-methods | Extract |

find_segment | Find the segment to which each theta value belongs |

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... |

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_attrib-class | An S4 class to represent a set of constraints. |

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_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 |

makeTestCluster-methods | Generate a test cluster object |

makeTest-methods | Generate a test object |

mlearray-methods | Generate maximum likelihood estimates of theta |

mle-methods | Generate maximum likelihood estimates of theta |

OAT | Launch Shiny app |

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) |

plotCAT-methods | Draw an audit trail plot |

plotEligibilityStats | Draw item eligibility statistics plots |

plotExposure-methods | 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-methods | Draw item information plots |

plotInfoOverlay | Overlay item information plots |

plotRMSE | Draw RMSE plots |

plotShadow-methods | Draw a shadow test chart |

pool_cluster-class | An S4 class to represent a cluster of item pools |

p_pc | Calculate probability at a single theta (PC) |

RE | Calculate Relative Errors |

RMSE | Calculate Root Mean Squared Error |

runAssembly | Run Test Assembly |

saveOutput | Save or print audit trails |

Shadow-methods | Run adaptive test assembly. |

simResp-methods | Simulate item responses |

Static-methods | Run Static Test Assembly |

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... |

theta_EB_single | Calculate an empirical Bayes estimate of theta for a single... |

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... |

updateConstraints | Update constraints |

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