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Changelog

Source: NEWS.md

ggadjustedforest 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.

ggadjustedforest 0.1.0

CRAN release: 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.