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BetaDanish 0.2.0

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.

BetaDanish 0.1.0

• 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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.