blm                     Bayesian hierarchical linear model
btlm                    Bayesian treed Linear (CART) model
bgp                     Bayesian Gaussian process model
bgpllm                  Bayesian Gaussian process with jumps to the limiting linear model (LLM)
btgp                    Bayesian treed Gaussian process model
btgpllm                 Bayesian treed Gaussian process with jumps to the LLM
default.itemps		creating inverse temperatures ladder for simulated/importance tempering
dopt.gp                 sequential D-optimal design for a stationary Gaussian process
exp2d                   2-d exponential Data, for examples
exp2d.rand              randomly subsampled 2-d exponential Data, for examples
exp2d.Z                 Z-values for 2-d exponential Data, for examples
friedman.1.data         first Friedman dataset, for examples
fried.bool              a version of the First Friedman dataset, with boolean indicators
interp.loess            Loess based interpolation of spatial data onto a regular grid
lhs                     Latin Hypercube sampling
mapT                    plot the MAP partition, or add one to an existing plot
optim.step.tgp		one step in the optimization of a noisy black box function
optim.ptgpf             calls the R optim function on the predictive surface of a tgp model
partition               partition data according to the MAP tree
plot.tgp                plotting for treed Gaussian process Models
predict.tgp             prediction for (MAP estimates of) treed GP Models
sens                    Bayesian Monte Carlo sensitivity analysis for treed GP Models
tgp                     generic interface to treed Gaussian process models
tgp.default.params      default treed Gaussian process model parameters
tgp.design              sequential treed D-Optimal design for treed Gaussian process models
tgp.trees               plot MAP tree for each height encountered by the Markov chain