Changes in version 0.1.0 (2026-09-02)                  

Initial native R port of EDGAR.

  - Added nine experimental designs implemented natively in R: cr_eq,
    cr_uneq, rcb, rcb_uneq, two_factor_rcb, latin, split_plot,
    variable_blocks, alpha.
  - Added public API: list_designs(), generate_design(type, ..., seed
    = 0L), validate_design(type, ...), plus design-specific convenience
    functions (design_cr(), design_rcb(), design_alpha(), and so on).
  - Added S3 edgar_design class with print, as.data.frame, total_units,
    has_layout, and as_layout_frames methods.
  - Added exporters write_edgar_csv() (no extra dependencies),
    write_edgar_json() (requires jsonlite), write_edgar_xlsx() (requires
    openxlsx).
  - Added propose_alpha_structures() helper for alpha design feasibility
    checks. choose_design() is provided as an alias matching the
    upstream Python API.
  - Added pure-R reimplementation of CPython's random.Random Mersenne
    Twister seeding and Fisher-Yates shuffle, giving byte-identical
    cross-language reproducibility for the same integer seed.
  - Added isolated RNG that does not modify the global .Random.seed.
  - Added testthat test suite covering structural invariants, validation
    failures, determinism, and byte-identical parity against the
    upstream Python edgar-design package.
  - Added two vignettes: "Introduction to EDGAR" and "Alpha designs and
    structure proposal".

EDGAR was originally developed by the Biometrics team at Rothamsted
Research as Excel workbooks (http://www.edgarweb.org.uk/). The
algorithms were subsequently re-implemented in the Python project
rotsl/edgar, documented at https://rotsl.github.io/edgar/ and
distributed as edgar-design on PyPI. This R package is a native R port
of that Python implementation. Alpha designs follow Patterson and
Williams (1976), doi:10.1093/biomet/63.1.83.