Analyze |
Analyze test or rating scale data defined in 'dataList'. |
ArcLength.plot |
Plot the score index 'theta' as a function of arc length. |
dataSimulation |
Simulation Based Estimates of Root-mean-squared-err of Theta Estimates |
density_plot |
Plot the probability density function for a set of test scores |
DHfun |
Compute the first and second derivatives of the negative log likelihoods |
entropies |
Entropy measures of inter-item dependency |
Entropy.plot |
Plot item entropy curves for selected items or questions. |
eval_surp |
Values of a Functional Data Object Defining Surprisal Curves. |
Hcurve |
Construct grid of 101 values of the fitting function |
Hfun |
Compute the negative log likelihoods associated with a vector of score index values. |
Hfuns.plot |
Plot a selection of fit criterion H functions and their first two derivatives. |
ICC |
Objects required for representing a single test or scale item |
ICC.plot |
Plot probability and surprisal curves for a selection of test or scale items. |
make.dataList |
Make a list object containing information required for analysis of choice data. |
mu.plot |
Plot expected test score as a function of score index |
plotCore |
Plot probability and surprisal curves for a single test or scale item. The core portion within 'plotindex' |
plotICC |
The most essential part for plotting probability/sueprisal curves of a single item. |
Power.plot |
Plot item power curves for selected items or questions. |
Quant_13B_problem_dataList |
List of objects essential for an analysis of the abbreviated SweSAT Quantitative multiple choice test. |
Quant_13B_problem_infoList |
Arclength or information arameter list for 24 items from the quantitative SweSAT subtest. |
Quant_13B_problem_key |
Option information for the short form of the SweSAT Quantitative test. |
Quant_13B_problem_parList |
Parameter list for 24 items from the quantitative SweSAT subtest. |
Quant_13B_problem_U |
Test data for 24 math calculation questions from the SweSAT data. |
scoreDensity |
Compute and plot a score density histogram and and curve. |
scorePerformance |
Calculate mean squared error and bias for a set of score index values from simulated data. |
SDS |
The Symptom Distress Scale data. |
SDS_dataList |
List of objects essential for an analysis of the Symptom Distress Scale. |
SDS_infoList |
Arclength or information parameter list for 13 items in the Symptom Distress Scale. |
SDS_key |
Key for Symptom Distress Scale. |
SDS_parList |
Parameter list for the Symptom Distress Scale. |
SDS_U |
Test data for Symptom Distress Scale. |
Sensitivity.plot |
Plots all the sensitivity curves for selected items or questions. |
SimulateData |
Simulate Choice Data from a Previous Analysis |
smooth.ICC |
Smooth binned probability and surprisal values to make an 'ICC' object. |
TestInfo_svd |
Image of the Test Tnformation Curve in 2 or 3 Dimensions |
testscore |
Compute the expected test score by substituting probability of choices for indicator variable 0-1 values. Binary items assumed coded as two choice items. |
TG_density.fd |
Compute a Probability Density Function |
theta.distn |
Compute score density |
theta2arclen |
Compute results using arc length or information as the abscissa. |
thetafun |
Compute optimal scores |
thetasearch |
Ensure that estimated score index is global |
Usimulate |
Simulate a test or scale data matrix. |
usimulate |
Simulate a test or scale data matrix. |
Wbinsmth |
Estimate the option probability and surprisal curves. |
Wbinsmth_nom |
List vector containing numbers of options and boundaries. |
Wpca.plot |
Plot the test information or scale curve in either two or three dimensions. |