Bayesian treed Gaussian process models


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Documentation for package `tgp' version 1.1-11

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tgp-package The Treed Gaussian Process Model Package
bgp One of Six Bayesian Nonparametric & Nonstationary Regression Models
bgpllm One of Six Bayesian Nonparametric & Nonstationary Regression Models
blm One of Six Bayesian Nonparametric & Nonstationary Regression Models
btgp One of Six Bayesian Nonparametric & Nonstationary Regression Models
btgpllm One of Six Bayesian Nonparametric & Nonstationary Regression Models
btlm One of Six Bayesian Nonparametric & Nonstationary Regression Models
dopt.gp Sequential D-Optimal Design for a Stationary Gaussian Process
exp2d 2-d Exponential Data
exp2d.rand Random 2-d Exponential Data
exp2d.Z Random Z-values for 2-d Exponential Data
friedman.1.data First Friedman Dataset
interp.loess Lowess 2-d interpolation onto a uniform grid
lhs Latin Hypercube sampling
mapT Plot the MAP partition, or add one to an existing plot
partition Partition data according to the MAP tree
plot.tgp Plotting for Treed Gaussian Process 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.get.partitions Get partition of data from maximum a' posteriori tree
tgp.trees Plot the MAP Tree for each height encountered by the Markov Chain