covariance.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 covariance of the probability distribution. If the
method does not exist, the covariance 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

covariance.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 covariance of the probability distribution. If the
method does not exist, the covariance of a random sample will be returned.

Covariance of a probability distribution — covariance.distribution

<dl>

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


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

</dl>

covariance.distribution: Covariance of a probability distribution

Description

Usage

Arguments