support

A probability distribution object such as those created by
a call to <code><a rd-options="=Bernoulli" href="/link/Bernoulli()?package=distributions3&version=0.2.0&to=%3DBernoulli" data-mini-rdoc="=Bernoulli::Bernoulli()">Bernoulli()</a></code>, <code><a rd-options="=Beta" href="/link/Beta()?package=distributions3&version=0.2.0&to=%3DBeta" data-mini-rdoc="=Beta::Beta()">Beta()</a></code>, or <code><a rd-options="=Binomial" href="/link/Binomial()?package=distributions3&version=0.2.0&to=%3DBinomial" data-mini-rdoc="=Binomial::Binomial()">Binomial()</a></code>.

logical. Should the result be simplified to a vector if possible?

drop

Return the support of a distribution

Tools to create and manipulate probability distributions
using S3.  Generics random(), pdf(), cdf() and quantile() provide
replacements for base R's r/d/p/q style functions.  Functions and
arguments have been named carefully to minimize confusion for students
in intro stats courses. The documentation for each distribution
contains detailed mathematical notes.

Alex Hayes

distributions3

Probability Distributions as S3 Objects

Ralph Moller-Trane

Emil Hvitfeldt

Daniel Jordan

Paul Northrop

Moritz N. Lang

Achim Zeileis

Bruna Wundervald

Alessandro Gasparini

support function

<dl><dt>d</dt>
<dd>A probability distribution object such as those created by
a call to <code>Bernoulli()</code>, <code><a href="/link/Beta()?package=distributions3&version=0.2.0" data-mini-rdoc="distributions3::Beta()">Beta()</a></code>, or <code><a href="/link/Binomial()?package=distributions3&version=0.2.0" data-mini-rdoc="distributions3::Binomial()">Binomial()</a></code>.</dd>
<dt>drop</dt>
<dd>logical. Should the result be simplified to a vector if possible?</dd></dl>

Arguments

Return the support of a distribution — support

<dl>

<dt>d</dt>
<dd>A probability distribution object such as those created by
a call to <code>Bernoulli()</code>, <code><a href='https://rdrr.io/r/stats/Beta.html'>Beta()</a></code>, or <code><a href='https://rdrr.io/r/stats/Binomial.html'>Binomial()</a></code>.</dd>


<dt>drop</dt>
<dd>logical. Should the result be simplified to a vector if possible?</dd>

</dl>

support: Return the support of a distribution

Description

Usage

Value

Arguments