density.distribution

<a href="https://lifecycle.r-lib.org/articles/stages.html#stable"><img src="figures/lifecycle-stable.svg?package=distributional&version=0.3.2" alt="[Stable]"></a>
Computes the probability density function for a continuous distribution, or
the probability mass function for a discrete distribution.

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

Earo Wang

density.distribution function

<dl><dt>x</dt>
<dd>The distribution(s).</dd>
<dt>at</dt>
<dd>The point at which to compute the density/mass.</dd>
<dt>...</dt>
<dd>Additional arguments passed to methods.</dd>
<dt>log</dt>
<dd>If <code>TRUE</code>, probabilities will be given as log probabilities.</dd></dl>

Arguments

<a href='https://lifecycle.r-lib.org/articles/stages.html#stable'><img src='figures/lifecycle-stable.svg' alt='[Stable]' /></a>
Computes the probability density function for a continuous distribution, or
the probability mass function for a discrete distribution.

The probability density/mass function — density.distribution

<dl>

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


<dt>at</dt>
<dd>The point at which to compute the density/mass.</dd>


<dt>...</dt>
<dd>Additional arguments passed to methods.</dd>


<dt>log</dt>
<dd>If <code>TRUE</code>, probabilities will be given as log probabilities.</dd>

</dl>

density.distribution: The probability density/mass function

Description

Usage

Arguments