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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:

Outlook

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

Constraints that we hope to implement in the future:

If you wish to contribute to the package, please send an email to b.becker@iqb.hu-berlin.de.