A calibration curve object stores the fitted model, diagnostics, and
metadata for quantitation workflows. Created by measure_calibration_fit().
Structure
A measure_calibration object is a list containing:
- model
The underlying fitted model (lm object)
- model_type
Character: "linear" or "quadratic"
- weights_type
Character: weighting scheme used
- formula
The model formula
- data
The calibration data used for fitting
- diagnostics
List of diagnostic statistics
- outliers
Data frame of flagged outliers (if any)
- call
The original function call
See also
measure_calibration_fit() for creating calibration objects,
measure_calibration_predict() for prediction,
tidy.measure_calibration() for extracting coefficients,
autoplot.measure_calibration() for diagnostic plots.