The fraction of prediction that is due to a correction.

Computes the fraction of total concentration or flux prediction that is attributable to a correction such as the residuals correction of composite method models.

loadComp models: The correction fraction for a composite method (loadComp) model is defined here as:

$$CF = (\sum |R| \Delta t) / (\sum L \Delta t)$$

where \(\sum\) indicates a sum over all predictions, \(L\) is the vector of composite predictions of flux or concentration, \(R\) is the vector of interpolated residuals in the same format (flux or concentration, non-log space) as \(L\), and \(\Delta t\) is the vector of time periods represented by the predictions.

Usage

getCorrectionFraction(
  load.model,
  flux.or.conc = c("flux", "conc"),
  newdata,
  ...
)

# S3 method for class 'loadComp'
getCorrectionFraction(
  load.model,
  flux.or.conc = c("flux", "conc"),
  newdata,
  na.rm = FALSE,
  ...
)

Arguments

load.model

The load model from which to pull the correction fraction.

flux.or.conc

character. Should the metric be computed with respect to predictions of flux rate or concentration?

newdata

The data for which to compute the correction fraction, usually containing daily or instantaneous discharge.

...

Other arguments passed to class-specific implementations of getCorrectionFraction.

na.rm

logical. Should predictions with NA values be excluded?

Value

A value between 0 and 1 indicating the fraction of total load that is attributed to a correction.

See also

Other diagnostics: estimateRho(), residDurbinWatson()