plot.hpaML

Plot approximated marginal density using hpaML output

Multivariate conditional and marginal densities, moments, cumulative distribution functions as well as binary choice and sample selection models based on Hermite polynomial approximation which was proposed and described by A. Gallant and D. W. Nychka (1987) <doi:10.2307/1913241>.

Potanin Bogdan

Distributions Hermite Polynomial Approximation

plot.hpaML function

<dl><dt>x</dt>
<dd>Object of class "hpaML"</dd>
<dt>y</dt>
<dd>this parameter currently ignored</dd>
<dt>...</dt>
<dd>further arguments to be passed to <code><a href="/link/plot?package=hpa&version=1.3.3" data-mini-rdoc="hpa::plot">plot</a></code>
function.</dd>
<dt>ind</dt>
<dd>index of random variable for which
approximation to marginal density should be plotted</dd>
<dt>given</dt>
<dd>numeric vector of the same length as given_ind
from <code>x</code>. Determines conditional values for the corresponding
components. <code>NA</code> values in <code>given</code> vector indicate that
corresponding random variable is not conditioned. By default all
<code>given</code> components are <code>NA</code> so unconditional marginal
density will be plotted for the <code>ind</code>-th random variable.</dd></dl>

Arguments

Plot approximated marginal density using hpaML output — plot.hpaML

<dl>

<dt>x</dt>
<dd>Object of class "hpaML"</dd>


<dt>y</dt>
<dd>this parameter currently ignored</dd>


<dt>...</dt>
<dd>further arguments to be passed to <code><a href='https://rdrr.io/r/base/plot.html'>plot</a></code>
function.</dd>


<dt>ind</dt>
<dd>index of random variable for which
approximation to marginal density should be plotted</dd>


<dt>given</dt>
<dd>numeric vector of the same length as given_ind
from <code>x</code>. Determines conditional values for the corresponding
components. <code>NA</code> values in <code>given</code> vector indicate that
corresponding random variable is not conditioned. By default all
<code>given</code> components are <code>NA</code> so unconditional marginal
density will be plotted for the <code>ind</code>-th random variable.</dd>

</dl>

plot.hpaML: Plot approximated marginal density using hpaML output

Description

Usage

Arguments