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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.

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.
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