quantile_to_range_long

Transform data from a format that uses quantiles only to one that uses
interval ranges to denote quantiles.

internal

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

quantile_to_range_long function

<dl><dt>data</dt>
<dd>a data.frame in quantile format</dd>
<dt>keep_quantile_col</dt>
<dd>keep the quantile column in the final
output after transformation (default is FALSE)</dd></dl>

Arguments

Change Data from a Plain Quantile Format to a Long Range Format — quantile_to_range_long

<dl>

<dt>data</dt>
<dd>a data.frame in quantile format</dd>


<dt>keep_quantile_col</dt>
<dd>keep the quantile column in the final
output after transformation (default is FALSE)</dd>

</dl>

quantile_to_range_long: Change Data from a Plain Quantile Format to a Long Range Format

Description

Usage

Value

Arguments