mean.distribution

<a href="https://lifecycle.r-lib.org/articles/stages.html#stable"><img src="figures/lifecycle-stable.svg?package=distributional&version=0.5.0" alt="[Stable]"></a>
Returns the empirical mean of the probability distribution. If the method
does not exist, the mean of a random sample will be returned.

Vectorised distribution objects with tools for manipulating,
visualising, and using probability distributions. Designed to allow model
prediction outputs to return distributions rather than their parameters,
allowing users to directly interact with predictive distributions in a
data-oriented workflow. In addition to providing generic replacements for
p/d/q/r functions, other useful statistics can be computed including means,
variances, intervals, and highest density regions.

Mitchell O'Hara-Wild

distributional

Vectorised Probability Distributions

Matthew Kay

Alex Hayes

Rob Hyndman

Earo Wang

Vencislav Popov

mean.distribution function

<dl><dt>x</dt>
<dd>The distribution(s).</dd>
<dt>...</dt>
<dd>Additional arguments used by methods.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
Returns the empirical mean of the probability distribution. If the method
does not exist, the mean of a random sample will be returned.

Mean of a probability distribution — mean.distribution

<dl>

<dt>x</dt>
<dd>The distribution(s).</dd>


<dt>...</dt>
<dd>Additional arguments used by methods.</dd>

</dl>

mean.distribution: Mean of a probability distribution

Description

Usage

Arguments