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ec50estimator 1.0.0

  • Added plot_EC50_curves() for plotting raw dose-response observations and fitted drc curves across isolates, strata, and one or more candidate models.
  • estimate_EC50() and ec50_multimodel() now store plotting metadata and fitted models, allowing plot_EC50_curves(fit) without repeating the formula, data, grouping columns, or model functions.
  • Added ec50_estimates(), ec50_metadata(), fitted_models(), and curve_data() helpers for working directly with fitted EC50 objects.
  • Added workflow helpers for model selection, fit quality, failed fits, prediction, reporting, data checks, and residual diagnostics.
  • Reorganized pkgdown and vignettes around the user workflow: check data, fit models, diagnose fits, select models, plot curves, predict, and report.
  • Added a new getting-started vignette and rewrote the single-model and multimodel vignettes to emphasize fit objects as the main interface.
  • Removed row-name warnings from predict_ec50() and residual_data().
  • Added clearer validation for formula, response, and dose inputs, including stable empty outputs when no groups can be fitted.
  • Reset row names in extractor outputs and preserved model-selection columns for all-failed multimodel fits.
  • Made quiet = TRUE suppress informational messages from internal drc fitting calls.
  • Added a clear error when plot_EC50_curves() is asked for models = "best" without a fitted ec50_multimodel object.
  • Modernized EC50 estimation internals with shared validation, clearer errors, and warnings for failed isolate-level fits.
  • Kept runtime dependencies focused on drc and ggplot2.
  • Removed vignette-only dependencies on cowplot and ggridges.
  • Added support for type = "relative" and type = "absolute" in estimate_EC50().
  • Added automated tests for grouped estimates, argument validation, absolute effective-dose levels, and multimodel output.
  • Converted the example dataset to standard package data format.
  • Refreshed the vignette, README, and pkgdown configuration.