assert_input_binary

Function assesses whether the inputs correspond to the
requirements for scoring binary forecasts.

internal_input_check

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

assert_input_binary function

<dl><dt>observed</dt>
<dd>Input to be checked. Should be a factor of length n with
exactly two levels, holding the observed values.
The highest factor level is assumed to be the reference level. This means
that <code>predicted</code> represents the probability that the observed value is
equal to the highest factor level.</dd>
<dt>predicted</dt>
<dd>Input to be checked. <code>predicted</code> should be a vector of
length n, holding probabilities. Alternatively, <code>predicted</code> can be a matrix
of size n x 1. Values represent the probability that
the corresponding value in <code>observed</code> will be equal to the highest
available factor level.</dd></dl>

Arguments

Assert that inputs are correct for binary forecast — assert_input_binary

<dl>

<dt>observed</dt>
<dd>Input to be checked. Should be a factor of length n with
exactly two levels, holding the observed values.
The highest factor level is assumed to be the reference level. This means
that <code>predicted</code> represents the probability that the observed value is
equal to the highest factor level.</dd>


<dt>predicted</dt>
<dd>Input to be checked. <code>predicted</code> should be a vector of
length n, holding probabilities. Alternatively, <code>predicted</code> can be a matrix
of size n x 1. Values represent the probability that
the corresponding value in <code>observed</code> will be equal to the highest
available factor level.</dd>

</dl>

Assert that inputs are correct for binary forecast

assert_input_binary: Assert that inputs are correct for binary forecast

Description

Usage

Value

Arguments