plot.hpaML

further arguments (currently ignored)

= index of random variable for which
approximation to marginal density should be plotted

= 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>-the random variable.

given

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>.

plot.hpaML: Plot approximated marginal density using hpaML output

Description

Usage

Arguments