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.