fit_mle

Generic function for fitting maximum-likelihood estimates (MLEs) of
a distribution based on empirical data.

Tools to create and manipulate probability distributions
using S3.  Generics pdf(), cdf(), quantile(), and random() provide
replacements for base R's d/p/q/r 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>An object. The package provides methods for distribution
objects such as those from <code><a href="/link/Normal()?package=distributions3&version=0.2.2" data-mini-rdoc="distributions3::Normal()">Normal()</a></code> or <code><a href="/link/Binomial()?package=distributions3&version=0.2.2" data-mini-rdoc="distributions3::Binomial()">Binomial()</a></code> etc.</dd>
<dt>x</dt>
<dd>A vector of data to compute the likelihood.</dd>
<dt>...</dt>
<dd>Arguments passed to methods. 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>An object. The package provides methods for distribution
objects such as those from <code><a href='https://rdrr.io/r/stats/Normal.html'>Normal()</a></code> or <code><a href='https://rdrr.io/r/stats/Binomial.html'>Binomial()</a></code> etc.</dd>


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


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

</dl>

Fit a distribution to data

fit_mle: Fit a distribution to data

Description

Usage

Value

Arguments

Examples