plot.hpaML: Plot approximated marginal density using hpaML output

In hpa: Distributions Hermite Polynomial Approximation

Plot approximated marginal density using hpaML output

Description

Plot approximated marginal density using hpaML output

Usage

## S3 method for class 'hpaML'
plot(x, y = NULL, ..., ind = 1, given = NULL)

Arguments

x	Object of class "hpaML"
y	this parameter currently ignored
...	further arguments to be passed to plot function.
ind	index of random variable for which approximation to marginal density should be plotted
given	numeric vector of the same length as given_ind from x. Determines conditional values for the corresponding components. NA values in given vector indicate that corresponding random variable is not conditioned. By default all given components are NA so unconditional marginal density will be plotted for the ind-th random variable.

hpa documentation built on May 31, 2023, 8:25 p.m.