RDocumentation
Moon
Learn R
Search all packages and functions
stuart (version 0.10.2)
Subtests Using Algorithmic Rummaging Techniques
Description
Construct subtests from a pool of items by using ant-colony-optimization, genetic algorithms, brute force, or random sampling. Schultze (2017)
.
Copy Link
Copy
Link to current version
Version
Version
0.10.2
0.10.1
0.10.0
0.9.1
0.9.0
0.8.0
0.7.3
Down Chevron
Install
install.packages('stuart')
Monthly Downloads
219
Version
0.10.2
License
GPL-3
Maintainer
Martin Schultze
Last Published
June 5th, 2023
Functions in stuart (0.10.2)
Search functions
fixedobjective
Generate a fixed objective function for item selection.
heuristics
Generating heuristics for the use in STUART subtest construction
bruteforce
Subtest construction using a brute-force approach
empiricalobjective
Generate an empirical objective function for item selection.
as.stuartFixedObjective
Convert empirical to fixed objective.
fairplayer
MTMM fairplayer Intervention Data (2009)
combinations
Compute the number of possible subtest combinations
crossvalidate
Cross-Validate a Measurement Model
holdout
Data selection for holdout validation.
objectivematrices
Generate matrix-components for objective functions.
kfold
k-Folds Crossvalidation
stuart-package
STUART: Subtests Using Algorithmic Rummaging Techniques
sia
Data from a German Meaning of Work Scale.
randomsamples
Generating random samples of Subtests
mmas
Subtest construction using the Max-Min-Ant-System
sups
Data from a scale for Supervisor Support
gene
Subtest construction using a simple genetic algorithm
extractobjective
Extracting empirical objective functions for item selection