R: Subtests Using Algorithmic Rummaging Techniques

# Subtests Using Algorithmic Rummaging Techniques

## Documentation for package ‘stuart’ version 0.10.2

- DESCRIPTION file

## Help Pages

stuart-package | STUART: Subtests Using Algorithmic Rummaging Techniques
as.stuartFixedObjective | Convert empirical to fixed objective.
bruteforce | Subtest construction using a brute-force approach
combinations | Compute the number of possible subtest combinations
crossvalidate | Cross-Validate a Measurement Model
empiricalobjective | Generate an empirical objective function for item selection.
fairplayer | MTMM fairplayer Intervention Data (2009)
fixedobjective | Generate a fixed objective function for item selection.
gene | Subtest construction using a simple genetic algorithm
heuristics | Generating heuristics for the use in STUART subtest construction
holdout | Data selection for holdout validation.
kfold | k-Folds Crossvalidation
mmas | Subtest construction using the Max-Min-Ant-System
objectivematrices | Generate matrix-components for objective functions.
randomsamples | Generating random samples of Subtests
sia | Data from a German Meaning of Work Scale.
stuart | STUART: Subtests Using Algorithmic Rummaging Techniques
sups | Data from a scale for Supervisor Support