Compute bias for a single vector of quantile predictions — bias_quantile_single_vector • scoringutils

Internal function to compute bias for a single observed value, a vector of predicted values and a vector of quantiles.

Usage

bias_quantile_single_vector(observed, predicted, quantile_level, na.rm)

Arguments

observed: Scalar with the observed value.
predicted: Vector of length N (corresponding to the number of quantiles) that holds predictions.
quantile_level: Vector of of size N with the quantile levels for which predictions were made. Note that if this does not contain the median (0.5) then the median is imputed as being the mean of the two innermost quantiles.
na.rm: Logical. Should missing values be removed?

Value

scalar with the quantile bias for a single quantile prediction