fit_mle

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>.

A vector of data to compute the likelihood.

Unused. Unevaluated arguments will generate a warning to
catch mispellings or other possible errors.

Approximates an empirical distribution with a theoretical one

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

fit_mle 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>x</dt>
<dd>A vector of data to compute the likelihood.</dd>
<dt>...</dt>
<dd>Unused. Unevaluated arguments will generate a warning to
catch mispellings or other possible errors.</dd></dl>

Arguments

Fit a distribution to data — fit_mle

<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>x</dt>
<dd>A vector of data to compute the likelihood.</dd>


<dt>...</dt>
<dd>Unused. Unevaluated arguments will generate a warning to
catch mispellings or other possible errors.</dd>

</dl>

fit_mle: Fit a distribution to data

Description

Usage

Value

Arguments

Examples