Changes in version 0.2.0 (2026-06-04)                  

Major new functionality

  - Bayesian inference: bayes_betadanish() provides random-walk
    Metropolis sampling for the Exponentiated Danish submodel and the
    full four-parameter Beta-Danish model with vague Gamma priors.
  - Competing risks rewrite: fit_bd_competing() now uses
    bound-constrained multi-start L-BFGS-B optimization. New
    cif_compare() overlays fitted cumulative incidence functions against
    the Aalen-Johansen estimator and reports Gray's test.
  - Structural properties: closed-form Shannon entropy
    (bd_entropy_shannon()), order-statistic densities
    (bd_order_stat_pdf()), mean residual life, hazard-shape
    classification, and stress-strength reliability.
  - Diagnostics: Cox-Snell residual plots for both AFT (plot.bd_aft())
    and cure (plot.bd_cure()) fits.
  - Bootstrap confidence intervals for AFT and cure models.
  - Finite-sample simulation-study runner for Table 5.5 of the
    underlying thesis.

Vignettes

Three new vignettes have been added:

  - "Bayesian Estimation with BetaDanish"
  - "Competing Risks with the Beta-Danish Distribution"
  - "Cure Models with the Beta-Danish Distribution"

Bug fixes

  - summary.bd_aft() and summary.bd_cure() now apply the delta-method
    back-transform so that reported standard errors are on the natural
    parameter scale, not the log scale.
  - report_betadanish() no longer prints NULL for AIC and BIC.
  - dbetadanish() log-pdf is now numerically stable in the right tail.
  - qbetadanish() clamps p to the unit interval.

Infrastructure

  - Continuous integration via GitHub Actions on four OS/R
    configurations: ubuntu-release, ubuntu-devel, macOS-release, and
    windows-release.
  - Test coverage reporting via Codecov.
  - Online package website built with pkgdown.
  - All Suggests packages used via requireNamespace() guards at the call
    sites.

                 Changes in version 0.1.0 (2026-05-20)                  

  - First public release.
  - Implements the four-parameter Beta-Danish distribution and its
    three-parameter Exponentiated Danish submodel for survival and
    reliability analysis.
  - Maximum-likelihood estimation, goodness-of-fit, model comparison,
    and visualization.
  - Built-in datasets: remission, carbon_fibres, transplant, aarset,
    leukemia, melanoma, brain_cancer.