check_dims_ok_point

Function assesses whether input dimensions match. In the
following, n is the number of observations / forecasts. Scalar values may
be repeated to match the length of the other input.
Allowed options are therefore:<ul>
<li><code>observed</code> is vector of length 1 or length n</li>
<li><code>predicted</code> is:<ul>
<li>a vector of of length 1 or length n</li>
<li>a matrix with n rows and 1 column</li>
</ul></li>
</ul>

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

check_dims_ok_point 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

Check Inputs Have Matching Dimensions — check_dims_ok_point

<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>

Check Inputs Have Matching Dimensions

check_dims_ok_point: Check Inputs Have Matching Dimensions

Description

Usage

Value

Arguments