Package index
curveR Ecosystem Entry Points
The recommended API for users coming from curveRfreq or curveRbayes. as_weight_data() converts a calibration_result(_multiplate) into the standardised input frame. fit_precision_weights() estimates phi and beta1. predict_weights() applies fitted weights to new data. join_weights() attaches weights back onto a sample data frame.
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as_weight_data() - Build precision-weight input from a curveR calibration result
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fit_precision_weights() - Estimate precision weights from a curveR calibration result
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predict_weights() - Apply fitted precision weights to new observations
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join_weights() - Join estimated weights back onto a data frame
Precision Index Preparation
Functions that compute and diagnose the precision index used as the scale predictor. prepare_cv() builds yi, cv_i, and log_cv from concentration and precision columns. diagnose_cv() checks whether the precision index has enough variation to identify beta1. interpret_beta1() classifies the estimated exponent into human-readable regimes.
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prepare_cv() - Prepare the Precision Index from Calibration Curve Output
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diagnose_cv() - Diagnose Precision Index Variation for Scale Estimation
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interpret_beta1() - Interpret the Estimated Beta1 Value
Weight Computation
Deterministic weight computation from estimated scale parameters and summary diagnostics for the resulting weight distribution.
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compute_saturated_weights() - Compute Precision Weights from Estimated Scale Parameters
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weight_diagnostics() - Compute Summary Diagnostics for Precision Weights
Core Fitting Engine
Lower-level functions that fit the joint Bayesian location-scale model via brms. fit_saturated_weight() fits one group; fit_saturated_weight_batch() loops over multiple groups. apply_saturated_weights() applies a saved scale_table to new data without refitting.
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fit_saturated_weight() - Fit a Bayesian Location-Scale Model with Saturated Location and Shared Scale
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fit_saturated_weight_batch() - Fit Saturated Weight Models Across Multiple Groups
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apply_saturated_weights() - Apply Previously Estimated Scale Parameters to New Data
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example_assay - Example Luminex Multiplex Immunoassay Data