Changes in version 0.7.3 (2026-07-08)                  

  - Removed R from DBA and PBA models
  - Added Big-M notation for DBA model
  - Improved Shiny interface

                        Changes in version 0.7.2                        

  - Added single_semester extraction for multi-role allocations without
    prior workload data.
  - Moved multi-role semester capacity to extraction so model
    preparation uses the stored C.
  - Updated the Shiny workload apps to run the multi-role engine
    directly.

                        Changes in version 0.7.1                        

  - Renamed the bundled workload data to multirole_*.
  - Expanded the workload examples with a complete TA/GR workflow.
  - Documented the single-semester synthetic prior-workload convention.

                        Changes in version 0.7.0                        

  - Added the multi-role workload allocation engine and wrapper support.
  - Added independent TA/GR preferences, fairness, and cohort
    protection.
  - Omitted objective components and supporting model structure when
    their weights are NULL or zero.
  - Retained the existing PhD workflow and Shiny applications.

                        Changes in version 0.6.2                        

  - Unified all three shiny apps into a single app with 3 tabs.
  - Added wrapper function for solving and post-processing in one step.
  - Added configurable four-value seniority scoring for the PhD model's
    E-allocation objective while retaining year-based cohort
    constraints.
  - Clarified that PhD preference matrices may use user-defined numeric
    scores.
  - Added protected_year to choose which Year 1-4 cohort receives the
    PhD model's soft TA-load protection.

                        Changes in version 0.6.1                        

  - Added wrapper functions for extracting information.
  - Added unit tests for main functions under R/
  - Added shiny app for PhD workload allocation model.

                        Changes in version 0.6.0                        

  - Added a PhD workload allocation model, with associated extraction
    and post-processing functions.
  - Modularized model preparation and added a wrapper for easier use.
  - Updated data/ testing datasets for the PhD model.
  - Added a PhD-model vignette and expanded sanity checks to include a
    sample workflow.
  - Deployed the pkgdown website.

                        Changes in version 0.5.1                        

  - Added functionality to choose solver
  - Added status message to shiny app

                 Changes in version 0.5.0 (2025-10-16)                  

  - Added shiny apps (one for dba and one for pba) to inst/shiny/ folder

                        Changes in version 0.4.0                        

  - Added functionality to use custom dissimilarity matrix in DBA
  - Vignette examples added for above, and to demonstrate use of arrays
    in YAML file.

                        Changes in version 0.3.0                        

  - Removed gurobi from Suggests
  - Datasets in mytesting updated
  - Quarto documents in mytesting/ updated

                        Changes in version 0.2.0                        

  - Name change from groupr to grouper.

                        Changes in version 0.1.0                        

  - Initial version of package.