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The goal of mstATA is to provide tools for automated test assembly of multistage tests using mixed-integer linear programming formulations.
You can install the development version of mstATA
from GitHub using
pak:
# install.packages("pak")
pak::pak("Hongchen030/mstATA")Alternatively, you can use remotes:
# install.packages("remotes")
remotes::install_github("Hongchen030/mstATA")mstATA supports multiple mixed-integer programming
solvers, including:
Gurobi – requires separate installation and a valid license. Installation instructions are available here: https://CRAN.R-project.org/package=prioritizr. See the prioritizr package vignette “gurobi_installation_guide” for installation instructions. Gurobi requires a valid license. However, free academic licenses are available for qualified students and researchers through the Gurobi Academic Program.
HiGHS – available on CRAN via install.packages(“highs”)
GLPK (via Rglpk) – available on CRAN via install.package(“Rglpk”)
SYMPHONY (via Rsymphony) – available on CRAN via install.package(“Rsymphony”)
lpSolve (via lpSolveAPI) – available on CRAN via install.package(“lpSolveAPI”)
The package includes several vignettes:
To browse available vignettes:
browseVignettes("mstATA")
#> No vignettes found by browseVignettes("mstATA")If you use mstATA in research, please cite:
Chen, H. (2026). mstATA: An R Package for IRT-Based Multistage Test Assembly.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.