likelihood

likelihood.distribution

log_likelihood

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

likelihood function

<dl><dt>x</dt>
<dd>The distribution(s).</dd>
<dt>...</dt>
<dd>Additional arguments used by methods.</dd>
<dt>sample</dt>
<dd>A list of sampled values to compare to distribution(s).</dd>
<dt>log</dt>
<dd>If <code>TRUE</code>, the log-likelihood will be computed.</dd></dl>

Arguments

The (log) likelihood of a sample matching a distribution — likelihood

<dl>

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


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


<dt>sample</dt>
<dd>A list of sampled values to compare to distribution(s).</dd>


<dt>log</dt>
<dd>If <code>TRUE</code>, the log-likelihood will be computed.</dd>

</dl>

likelihood: The (log) likelihood of a sample matching a distribution

Description

Usage

Arguments