merge_pred_and_obs

The function more or less provides a wrapper around <code>merge</code> that
aims to handle the merging well if additional columns are present
in one or both data sets. If in doubt, you should probably merge the
data sets manually.

data-handling

Provides a collection of metrics and proper scoring rules
(Tilmann Gneiting & Adrian E Raftery (2007)
<doi:10.1198/016214506000001437>, Jordan, A., Krüger, F., & Lerch, S. (2019)
<doi:10.18637/jss.v090.i12>) within a consistent framework for
evaluation, comparison and visualisation of forecasts.
In addition to proper scoring rules, functions are provided to assess
bias, sharpness and calibration
(Sebastian Funk, Anton Camacho, Adam J. Kucharski, Rachel Lowe, Rosalind
M. Eggo, W. John Edmunds (2019) <doi:10.1371/journal.pcbi.1006785>) of
forecasts.
Several types of predictions (e.g. binary, discrete, continuous) which may
come in different formats (e.g. forecasts represented by predictive samples
or by quantiles of the predictive distribution) can be evaluated.
Scoring metrics can be used either through a convenient data.frame format,
or can be applied as individual functions in a vector / matrix format.
All functionality has been implemented with a focus on performance and is
robustly tested. Find more information about the package 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 

Sebastian Funk

merge_pred_and_obs function

<dl><dt>forecasts</dt>
<dd>data.frame with the forecast data (as can be passed to
<code>score()</code>).</dd>
<dt>observations</dt>
<dd>data.frame with the observations</dd>
<dt>join</dt>
<dd>character, one of <code>c("left", "full", "right")</code>. Determines the
type of the join. Usually, a left join is appropriate, but sometimes you
may want to do a full join to keep dates for which there is a forecast, but
no ground truth data.</dd>
<dt>by</dt>
<dd>character vector that denotes the columns by which to merge. Any
value that is not a column in observations will be removed.</dd></dl>

Arguments

Merge Forecast Data And Observations — merge_pred_and_obs

<dl>

<dt>forecasts</dt>
<dd>data.frame with the forecast data (as can be passed to
<code>score()</code>).</dd>


<dt>observations</dt>
<dd>data.frame with the observations</dd>


<dt>join</dt>
<dd>character, one of <code>c("left", "full", "right")</code>. Determines the
type of the join. Usually, a left join is appropriate, but sometimes you
may want to do a full join to keep dates for which there is a forecast, but
no ground truth data.</dd>


<dt>by</dt>
<dd>character vector that denotes the columns by which to merge. Any
value that is not a column in observations will be removed.</dd>

</dl>

merge_pred_and_obs: Merge Forecast Data And Observations

Description

Usage

Value

Arguments

Examples