plot.bicop_dist: Plotting tools for 'bicop_dist' and 'bicop' objects

In rvinecopulib: High Performance Algorithms for Vine Copula Modeling

Plotting tools for bicop_dist and bicop objects

Description

There are several options for plotting bicop_dist 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).

Usage

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

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

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

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

Arguments

x	bicop_dist object.
type	plot type; either "surface" or "contour".
margins	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; the plot is based on values on a size x size grid, default is 100.
...	optional arguments passed to contour or wireframe.

See Also

bicop_dist(), graphics::contour(), wireframe()

Examples

## construct bicop_dist object for a student t copula
obj <- bicop_dist(family = "t", rotation = 0, parameters = c(0.7, 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

rvinecopulib documentation built on March 7, 2023, 6:20 p.m.