tgp.trees

<code>"tgp"</code> class object which is the output of one
  	the model functions with tree support (e.g. <code><a href="/link/btgpllm?package=tgp&version=1.0-1" rd-options="" data-mini-rdoc="tgp::btgpllm">btgpllm</a></code>)

Index vector of length less than <code>length(out$trees)</code>
  	describing trees to plot.  Default (<code>NULL</code>) is to
  	plot all trees, one for each height encountered when sampling
	from the Markov chain of the tree posterior.  This is equival

which

Optional character string to add to the main title of the plot

main

Extra arguments to the <code>draw.tree</code> function from 
  	<code>library(maptree)</code>

Plot the maximum a' posteriori (MAP) tree as a function of
  tree height, and show the log posterior probabilities for 
  comparison.

hplot

tree

Bayesian Nonparametric and nonstationary regression by treed 
 Gaussian processes with jumps to the limiting linear model (LLM).  Special 
 cases also implememted include Bayesian linear models, linear CART, 
 stationary separable and isotropic Gaussian process regression.  Includes
 1d and 2d plotting functions (with higher dimension projection and slice
 capabilities), and tree drawing, designed for visualization of tgp class 
 output. (2d plotting requires akima; tree plotting requires maptree and
 combinat.)

tgp.trees: Plot MAP Treed Gaussian Process Models

Description

Usage

Arguments

Value

References

See Also