eatATA

Overview

eatATA provides a small R interface to mathematical optimization solvers specialized on solving simple automated test assembly problems (ATA). Internally, sparse matrices are used via the Matrix package. Currently supported solvers are GLPK, lpSolve, and Gurobi. See below for a list of implemented features and feature to come.

Installation

# Install eatATA from CRAN via
install.packages("eatATA")

# Install development version from GitHub via
remotes::install_github("beckerbenj/eatATA", build_vignettes = TRUE)

Documentation

A vignette describing the current functionality can be found on CRAN.

Alternatively, the vignette of the development version can be accessed through R.

library(eatATA)
vignette("eatATA")

Implemented Features

The following types of constraints can be set via eatATA:

• no item overlap between test forms

• complete item pool depletion

• categorical and numerical constraints across test forms

• excluding items from being together in the same booklet (item exclusions)

• simple optimization constraints

Outlook

We are hoping to add interfaces to other mathematical optimization solvers.

Constraints that we hope to implement in the future:

• force items to be in the same test form

• taking into account hierarchical stimulus-item structures

• more complex optimization targets

If you wish to contribute to the package, please send an email to [email protected]