# 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. 