generate.distribution

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Generate random samples from probability distributions.

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

Stefano Damato

generate.distribution function

<dl><dt>x</dt>
<dd>The distribution(s).</dd>
<dt>times</dt>
<dd>The number of samples. A scalar is broadcast to every
distribution. Per-distribution sample sizes must be given as a list
containing a single vector (<code>list(c(...))</code>) recycled against the
distributions (length 1 or <code>length(x)</code>) - a bare vector of length &gt; 1 is
deprecated for this, as it is ambiguous with mapping the same vector onto
every distribution.</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>
Generate random samples from probability distributions.

Randomly sample values from a distribution — generate.distribution

<dl>

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


<dt>times</dt>
<dd>The number of samples. A scalar is broadcast to every
distribution. Per-distribution sample sizes must be given as a list
containing a single vector (<code>list(c(...))</code>) recycled against the
distributions (length 1 or <code>length(x)</code>) - a bare vector of length &gt; 1 is
deprecated for this, as it is ambiguous with mapping the same vector onto
every distribution.</dd>


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

</dl>

generate.distribution: Randomly sample values from a distribution

Description

Usage

Arguments

See Also