summary.mcstudy

Simple summary method for class mcstudy

Dictionary-like reference for computing scoring rules in a wide
range of situations. Covers both parametric forecast distributions (such as
mixtures of Gaussians) and distributions generated via simulation. Further
details can be found in the package vignettes <doi:10.18637/jss.v090.i12>,
<doi:10.18637/jss.v110.i08>.

Fabian Krueger

scoringRules

Scoring Rules for Parametric and Simulated Distribution
Forecasts

Sebastian Lerch

Sam Allen

Maximiliane Graeter

summary.mcstudy function

<dl><dt>object</dt>
<dd>Object of class mcstudy, generated via run_mcstudy</dd>
<dt>...</dt>
<dd>Additional specifications (presently not in use)</dd></dl>

Arguments

Simple summary method for class mcstudy — summary.mcstudy

<dl>

<dt>object</dt>
<dd>Object of class mcstudy, generated via run_mcstudy</dd>


<dt>...</dt>
<dd>Additional specifications (presently not in use)</dd>

</dl>

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summary.mcstudy: Simple summary method for class mcstudy

Description

Usage

Arguments