# Optimal Analysis of Test and Rating Scale Data

## Documentation for package ‘TestGardener’ version 3.1.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Code demos. Use demo() to run them.
- Package NEWS.

## Help Pages

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.
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.fit | Estimate the option probability and surprisal curves.
ICC.plot | Plot probability and surprisal curves for a selection of test or scale items.
keyshort | Option information for the short form of the SweSAT Quantitative test.
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
Power.plot | Plot item power curves for selected items or questions.
Quantshort_dataList | List of objects essential for an analysis of the abbreviated SweSAT Quantitative multiple choice test.
Quantshort_infoList | Arclength or information arameter list for 24 items from the quantitative SweSAT subtest.
Quantshort_key | Option information for the short form of the SweSAT Quantitative test.
Quantshort_parList | Parameter list for 24 items from the quantitative SweSAT subtest.
Quantshort_U | Test data for 24 math calculation questions from the SweSAT Quantitative 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.
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
Ushort | Test data for 24 math calculation questions from the SweSAT Quantitative data.
Usimulate | Simulate a test or scale data matrix.
usimulate | Simulate a test or scale data matrix.
Wbinsmth | Estimate the option probability and surprisal curves.
Wpca.plot | Plot the test information or scale curve in either two or three dimensions.