pairs.mcmc.list: Scatterplot Matrices for 'mcmc.list' Objects

In datacloning/dclone: Data Cloning and MCMC Tools for Maximum Likelihood Methods

Scatterplot Matrices for 'mcmc.list' Objects

Description

A matrix of scatterplots is produced.

Usage

## S3 method for class 'mcmc.list'
pairs(x, n = 25, col = 1:length(x), 
    col.hist = "gold", col.image = terrain.colors(50), 
    density = TRUE, contour = TRUE, mean = TRUE, ...)

Arguments

x	an 'mcmc.list' object.
n	number of of grid points in each direction for two-dimensional kernel density estimation. Can be scalar or a length-2 integer vector.
col	color for chains in upper panel scatterplots.
col.hist	color for histogram fill in diagonal panels.
col.image	color palette for image plot in lower panel scatterplots.
density	logical, if image plot based on the two-dimensional kernel density estimation should be plotted in lower panel.
contour	logical, if contour plot based on the two-dimensional kernel density estimation should be plotted in lower panel.
mean	logical, if lines should indicate means of the posterior densities in the panels.
...	additional graphical parameters/arguments.

Details

The function produces a scatterplot matrix for 'mcmc.list' objects. Diagonal panels are posterior densities with labels and rug on the top. Upper panels are pairwise bivariate scatterplots with coloring corresponding to chains, thus highlighting mixing properties although not as clearly as trace plots. Lower panels are two-dimensional kernel density estimates based on kde2d function of MASS package using image and contour.

Value

The function returns NULL invisibly and produces a plot as a side effect.

Author(s)

Peter Solymos

See Also

pairs, plot.mcmc.list

Two-dimensional kernel density estimation: kde2d in MASS package

Examples

data(regmod)
pairs(regmod)

datacloning/dclone documentation built on Sept. 29, 2024, 3:21 p.m.