A B C D E F G I L M O P R S T U misc
addTrans | Add transparancy to color |
app | Launch Shiny app |
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 |
calcDerivative-method | Calculate first derivative |
calcDerivative2 | Calculate second derivative |
calcDerivative2-method | Calculate second derivative |
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 item location |
calcLocation-method | Calculate item location |
calcProb | Calculate item response probabilities |
calcProb-method | Calculate item response probabilities |
calcRP | Find matching theta to supplied probability |
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_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 |
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 |
constraints_fatigue | Fatigue dataset |
constraints_fatigue_raw | Fatigue dataset |
constraints_reading | Reading dataset |
constraints_reading_raw | Reading dataset |
constraints_science | Science dataset |
constraints_science_raw | Science dataset |
createShadowTestConfig | createShadowTestConfig |
createStaticTestConfig | createStaticTestConfig |
dataset_fatigue | Fatigue dataset |
dataset_reading | Reading dataset |
dataset_science | Science dataset |
EAP | Generate expected a posteriori estimates of theta |
eap | Generate expected a posteriori estimates of theta |
EAP-method | Generate expected a posteriori estimates of theta |
eap-method | 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 |
getSolution-method | 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 |
itemattrib_fatigue | Fatigue dataset |
itemattrib_fatigue_raw | Fatigue dataset |
itemattrib_reading | Reading dataset |
itemattrib_reading_raw | Reading dataset |
itemattrib_science | Science dataset |
itemattrib_science_raw | Science dataset |
itemcontent_fatigue_raw | Fatigue dataset |
itempool_fatigue | Fatigue dataset |
itempool_fatigue_raw | Fatigue dataset |
itempool_reading | Reading dataset |
itempool_reading_raw | Reading dataset |
itempool_science | Science dataset |
itempool_science_raw | Science dataset |
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 |
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 | Generate maximum likelihood estimates of theta |
mle | Generate maximum likelihood estimates of theta |
MLE-method | Generate maximum likelihood estimates of theta |
mle-method | Generate maximum likelihood estimates of theta |
OAT | Launch Shiny app |
output_Shadow-class | output_Shadow |
plotCAT | Draw an audit trail plot |
plotCAT-method | Draw an audit trail plot |
plotEligibilityStats | Draw item eligibility statistics plots |
plotExposure | Draw an item exposure plot |
plotExposure-method | 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 |
plotInfo-method | Draw item information plots |
plotInfoOverlay | Overlay item information plots |
plotRMSE | Draw RMSE plots |
plotShadow | Draw a shadow test chart |
plotShadow-method | Draw a shadow test chart |
pool_cluster-class | An S4 class to represent a cluster of item pools |
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) |
RE | Calculate Relative Errors |
resp_fatigue_raw | Fatigue dataset |
RMSE | Calculate Root Mean Squared Error |
runAssembly | Run Test Assembly |
saveOutput | Save or print audit trails |
Shadow | Run adaptive test assembly. |
Shadow-method | Run adaptive test assembly. |
showConstraints | Show constraints |
simResp | Simulate item responses |
simResp-method | Simulate item responses |
Static | Run Static Test Assembly |
Static-method | Run Static Test Assembly |
stimattrib_reading | Reading dataset |
stimattrib_reading_raw | Reading dataset |
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 |
+.item_pool | Item pool and pool cluster operators |
-.item_pool | Item pool and pool cluster operators |
==.item_pool | Item pool and pool cluster operators |
==.pool_cluster | Item pool and pool cluster operators |
[-method | Extract |