plot.hpaSelection

Plot hpaSelection random errors approximated density

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.hpaSelection function

<dl><dt>x</dt>
<dd>Object of class "hpaSelection"</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>type</dt>
<dd>character; if "outcome" then function plots the graph for 
outcome equation random errors, if "selection" then plot for selection 
equation random errors will be generated.</dd></dl>

Arguments

Plot hpaSelection random errors approximated density — plot.hpaSelection

<dl>

<dt>x</dt>
<dd>Object of class "hpaSelection"</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>type</dt>
<dd>character; if "outcome" then function plots the graph for 
outcome equation random errors, if "selection" then plot for selection 
equation random errors will be generated.</dd>

</dl>

plot.hpaSelection: Plot hpaSelection random errors approximated density

Description

Usage

Arguments