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mstATA 0.1.0

Initial release

• Initial CRAN submission of mstATA.
• Implements MILP-based automated test assembly for multistage testing.
• Compatible with multiple solvers including ‘Gurobi’, ‘HiGHS’, ‘Symphony’, ‘GLPK’, and ‘lpsolve’.
• Offers filtering of decision variables through item–module eligibility and the application of explicit bounds to simplify the MILP model and accelerate the optimization process.
• Supports bottom up, top down, and hybrid assembly strategies; enemy-item and enemy-stimulus exclusions; stimulus all in/all out or partial selection; anchor item/stimulus specification; and item exposure control.
• Accommodates both single-objective and multi-objective optimization (weighted-sum, maximin, capped-maximin, minimax, and goal programming).
• Enables simultaneous assembly of multiple panels with item and stimulus content balancing and exposure control.
• Includes analytic evaluation tools for MST precision.
• Includes tools for diagnosing infeasible optimization models by systematically identifying sources of infeasibility and reformulating models with slack variables to restore feasibility.

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.