Changes in version 0.1.0 (2026-03-23)                  

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.