bias_quantile_single_vector

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

internal

Facilitate the evaluation of forecasts in a convenient
framework based on data.table. It allows user to to check their forecasts
and diagnose issues, to visualise forecasts and missing data, to transform
data before scoring, to handle missing forecasts, to aggregate scores, and
to visualise the results of the evaluation. The package mostly focuses on
the evaluation of probabilistic forecasts and allows evaluating several
different forecast types and input formats. Find more information about the
package in the Vignettes as well as in the accompanying paper,
<doi:10.48550/arXiv.2205.07090>.

Nikos Bosse

scoringutils

Utilities for Scoring and Assessing Predictions

Sam Abbott

Hugo Gruson

Johannes Bracher

Toshiaki Asakura 

James Mba Azam

Sebastian Funk

Michael Chirico

bias_quantile_single_vector function

<dl><dt>observed</dt>
<dd>Scalar with the observed value.</dd>
<dt>predicted</dt>
<dd>Vector of length N (corresponding to the number of
quantiles) that holds predictions.</dd>
<dt>quantile_level</dt>
<dd>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.</dd>
<dt>na.rm</dt>
<dd>Logical. Should missing values be removed?</dd></dl>

Arguments

Compute bias for a single vector of quantile predictions — bias_quantile_single_vector

<dl>

<dt>observed</dt>
<dd>Scalar with the observed value.</dd>


<dt>predicted</dt>
<dd>Vector of length N (corresponding to the number of
quantiles) that holds predictions.</dd>


<dt>quantile_level</dt>
<dd>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.</dd>


<dt>na.rm</dt>
<dd>Logical. Should missing values be removed?</dd>

</dl>

Compute bias for a single vector of quantile predictions

bias_quantile_single_vector: Compute bias for a single vector of quantile predictions

Description

Usage

Value

Arguments