plot.univariateML

lines.univariateML

points.univariateML

The <code>plot</code>, <code>lines</code>, and <code>points</code> methods for
<code>univariateML</code> objects.

User-friendly maximum likelihood estimation (Fisher (1921)
<doi:10.1098/rsta.1922.0009>) of univariate densities.

Jonas Moss

univariateML

Maximum Likelihood Estimation for Univariate Densities

Thomas Nagler

Chitu Okoli

plot.univariateML function

<dl><dt>x</dt>
<dd>a <code>univariateML</code> object.</dd>
<dt>range</dt>
<dd>range of <code>x</code> values to plot, i.e. <code>c(lower, upper)</code>.</dd>
<dt>kind</dt>
<dd>can be <code>density</code>, <code>probability</code>, or <code>quantile</code>.</dd>
<dt>...</dt>
<dd>parameters passed to <code>plot</code>, <code>lines</code>, or <code>points</code>.</dd></dl>

Arguments

Plot, Lines and Points Methods for Maximum Likelihood Estimates — plot.univariateML

<dl>

<dt>x</dt>
<dd>a <code>univariateML</code> object.</dd>


<dt>range</dt>
<dd>range of <code>x</code> values to plot, i.e. <code>c(lower, upper)</code>.</dd>


<dt>kind</dt>
<dd>can be <code>density</code>, <code>probability</code>, or <code>quantile</code>.</dd>


<dt>...</dt>
<dd>parameters passed to <code>plot</code>, <code>lines</code>, or <code>points</code>.</dd>

</dl>

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plot.univariateML: Plot, Lines and Points Methods for Maximum Likelihood Estimates

Description

Usage

Value

Arguments

Examples