plot.BiCop: Plotting tools for BiCop objects

In tnagler/VineCopula: Statistical Inference of Vine Copulas

Plotting tools for BiCop objects

Description

There are several options for plotting BiCop objects. The density of a bivariate copula density can be visualized as surface/perspective or contour plot. Optionally, the density can be coupled with standard normal margins (default for contour plots). Furthermore, a lambda-plot is available (cf., BiCopLambda()).

Usage

## S3 method for class 'BiCop'
plot(x, type = "surface", margins, size, ...)

## S3 method for class 'BiCop'
contour(x, margins = "norm", size = 100L, ...)

Arguments

x	⁠BiCop object.⁠
type	plot type; either "surface", "contour", or "lambda" (partial matching is activated); the latter is only implemented for a few families (c.f., BiCopLambda()).
margins	only relevant for types "contour" and "surface"; options are: "unif" for the original copula density, "norm" for the transformed density with standard normal margins, "exp" with standard exponential margins, and "flexp" with flipped exponential margins. Default is "norm" for type = "contour", and "unif" for type = "surface".
size	integer; only relevant for types "contour" and "surface"; the plot is based on values on a size x size grid; default is 100 for type = "contour", and 25 for type = "surface".
...	optional arguments passed to contour() or wireframe().

Author(s)

Thomas Nagler

See Also

BiCop(), contour(), wireframe()

Examples

## construct BiCop object for a Tawn copula
obj <- BiCop(family = 104, par = 2.5, par2 = 0.4)

## plots
plot(obj)  # surface plot of copula density
contour(obj)  # contour plot with standard normal margins
contour(obj, margins = "unif")  # contour plot of copula density

tnagler/VineCopula documentation built on March 6, 2024, 5 a.m.