roc_score_vec

Calculates the area under curve (AUC) or ROC-score from a vector of probabilities and corresponding observations.
Formula (1a) from Mason&amp;2018 is used in the calculation, corresponding to trapezoidal interpolation.
This is mostly an auxiliary function for the ROCS function, but also used in the ROC-diagram function, where the AUC is added to the diagrams.

Provides tools for processing and evaluating seasonal weather forecasts,
with an emphasis on tercile forecasts. We follow the World Meteorological Organization's
"Guidance on Verification of Operational Seasonal Climate Forecasts",
S.J.Mason (2018, ISBN: 978-92-63-11220-0, URL: <https://library.wmo.int/idurl/4/56227>).
The development was supported by the European Union’s Horizon 2020 research and innovation
programme under grant agreement no. 869730 (CONFER).
A comprehensive online tutorial is available at <http://files.nr.no/samba/CONFER/SeaVal/>.

Claudio Heinrich-Mertsching

SeaVal

Validation of Seasonal Weather Forecasts

Celine Cunen

Michael Scheuerer

roc_score_vec function

<dl><dt>probs</dt>
<dd>vector with probabilities (between 0 and 1)</dd>
<dt>obs</dt>
<dd>vector with categorical observations (as TRUE/FALSE)</dd></dl>

Arguments

ROC score (AUC) — roc_score_vec

<dl>

<dt>probs</dt>
<dd>vector with probabilities (between 0 and 1)</dd>


<dt>obs</dt>
<dd>vector with categorical observations (as TRUE/FALSE)</dd>

</dl>

roc_score_vec: ROC score (AUC)

Description

Usage

Value

Arguments

Examples