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Fit Frequentist Calibration Curves Across Multiple Curves

Source: R/fit_multiplate.R
fit_calibration_freq_multiplate.Rd

Splits preprocessed standards, blanks, and optionally samples by curve_id, calls fit_calibration_freq() for each curve, and collects the results.

Usage

fit_calibration_freq_multiplate(
  standards,
  blanks = NULL,
  samples = NULL,
  response_var,
  model_names = c("logistic4", "gompertz4"),
  is_log_response = TRUE,
  is_log_independent = TRUE,
  std_curve_conc,
  fixed_a = NULL,
  cv_x_max = 150,
  n_grid = 200L,
  grid_min_conc = 1e-04,
  grid_max_conc = NULL,
  curve_ids = NULL,
  on_error = c("warn", "stop"),
  verbose = FALSE
)

Arguments

standards

Data frame. Stacked preprocessed standard curve data. Must contain a curve_id column, a response column (named by response_var), and a concentration column — all already on the fitting scale.

blanks

Data frame or NULL. Stacked preprocessed blank data. When non-NULL, must contain a curve_id column and a response column (named by response_var), both already on the fitting scale. Stored in each result$blanks for QA and plotting only — not used in fitting. NULL (default) leaves result$blanks empty for every curve.

samples

Data frame or NULL. Stacked sample data with a curve_id column and the response column (raw measurement scale).

response_var

Character. Name of the response column.

model_names

Character vector. Models to fit. Default c("logistic4", "gompertz4").

is_log_response

Logical. Was the response log10-transformed? Default TRUE.

is_log_independent

Logical. Was concentration log10-transformed? Default TRUE.

std_curve_conc

Numeric. Undiluted standard concentration (raw scale). Used for grid generation.

fixed_a

Numeric or NULL. Fixed lower asymptote on the fitting scale.

cv_x_max

Numeric. Default 150.

n_grid

Integer. Default 200.

grid_min_conc

Numeric. Default 1e-4.

grid_max_conc

Numeric or NULL.

curve_ids

Optional vector. If supplied, only these curve_ids are fitted. Default NULL fits all found in standards.

on_error

Character. "warn" (default) stores NULL and continues; "stop" raises on first failure.

verbose

Logical.

Value

A calibration_result_multiplate object (from curveRcore).

Details

Important: standards and blanks must already be on the fitting scale. Use curveRcore::preprocess_standards() upstream on each curve's data before stacking, or preprocess the full stacked frame if all curves share the same settings.