Changes in version 0.1.1                        

Changes

  - cumulative = TRUE with model_type = "logistic" or "coxph" now emits
    a warning explaining that odds ratios and hazard ratios are
    non-collapsible effect measures. A shifting OR/HR across sequential
    models cannot be cleanly attributed to confounding; cumulative
    display is most interpretable for collapsible measures (risk
    differences, risk ratios). The feature is retained for descriptive
    and predictive modelling contexts.

Documentation

  - Updated vignette and README examples to use the rotterdam breast
    cancer dataset (from survival) for the Cox model demonstration.
  - Installation instructions updated to reflect CRAN availability.
  - Long plot titles now wrap automatically to prevent clipping.

                 Changes in version 0.1.0 (2026-07-17)                  

Initial release

  - gg_adjusted_forest(): main function producing forest plots and
    tables for unadjusted and adjusted exposure effects.
  - forest_table(): standalone table extraction helper.
  - Supports "logistic", "linear", "poisson", and "coxph" model types.
  - Cumulative adjustment mode (cumulative = TRUE).
  - Optional cluster-robust standard errors via sandwich / lmtest.
  - Optional survey weights.
  - patchwork-based combined plot + table display.
  - S3 print and plot methods for ggadjustedforest objects.