cdf.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

Rob Hyndman

Earo Wang

Vencislav Popov

cdf function

<dl><dt>x</dt>
<dd>The distribution(s).</dd>
<dt>q</dt>
<dd>The quantile at which the cdf is calculated.</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

The cumulative distribution function — cdf

<dl>

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


<dt>q</dt>
<dd>The quantile at which the cdf is calculated.</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>

cdf: The cumulative distribution function

Description

Usage

Arguments