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Stroke capacity planning model: R DES RAP 1.0.0

Stable release, with package-level documentation, switch from R6 to function for distribution registry, validation using checkmate, and new quality assurance documentation.

New features

  • Add docs/quality_assurance.md.
  • Add checkmate to project dependencies.

Other changes

  • Switched to package-level documentation (instead of individual @importFrom on each function).
  • Changed R6 class DistributionRegistry into a function create_distribution_registry().
  • Refactored validation so it uses checkmate.

Stroke capacity planning model: R DES RAP 0.3.0

Introduces a code of conduct and new test, and includes improvements to documentation, contributor and parameter use.

New features

  • Add CODE_OF_CONDUCT.md.
  • Add test for model with no arrivals.

Other changes

  • Greatly improved/expanded CONTRIBUTING.md.
  • Add Tom to CITATION.cff and DESCRIPTION.
  • Corrections to docstrings (e.g., add missing @importFrom).
  • verbose is local parameter in model rather than part of param list.
  • Improvements to README.md.

Stroke capacity planning model: R DES RAP 0.2.0

Introduces DistributionRegistry with JSON-based parameters, replacing individual parameter functions and CSV. Also add test coverage, add file path check, and documentation and dependency management updates.

New features

  • Add DistributionRegistry and inst/extdata/parameters.json (and accompanying data dictionary). Amended the package, validation, tests and rmarkdown to work with the new syntax for sampling and changing values (as have removed the individual parameter functions - and also removed the CSV).
  • Add coverage (covr, DT, coverage command in README, and GitHub action).

Bug fixes

  • Add check for non-null file path when log_to_file=TRUE in model validation.

Other changes

  • Switched to "all" renv snapshot type.
  • Update docs/stress_des.md.

Stroke capacity planning model: R DES RAP 0.1.0

🌱 First release of the R stroke model.

New features

  • Implementation of the stroke model in R as a package (R/).
  • Reproduction of paper results (rmarkdown/analysis.Rmd).
  • Other RMarkdown files to generate results for tests, demonstrate logging, and how parameters can be loaded from a csv (rmarkdown/).
  • Back, functional and unit tests (tests/).
  • Other features include continuous integration (tests and linting), checklists, R environment, and other metadata.