covariance

<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>
A generic function for computing the covariance of an object.

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 function

<dl><dt>x</dt>
<dd>An object.</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>
A generic function for computing the covariance of an object.

Covariance — covariance

<dl>

<dt>x</dt>
<dd>An object.</dd>


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

</dl>

covariance: Covariance

Description

Usage

Arguments

See Also