bias_quantile_single_vector: Compute bias for a single vector of quantile predictions

In epiforecasts/scoringutils: Utilities for Scoring and Assessing Predictions

Compute bias for a single vector of quantile predictions

Description

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

epiforecasts/scoringutils documentation built on April 23, 2024, 4:56 p.m.