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

Version

Install

install.packages('stuart')

Monthly Downloads

221

Version

0.10.2

License

GPL-3

Maintainer

Martin Schultze

Last Published

June 5th, 2023

Functions in stuart (0.10.2)

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