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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 | Randomly subsampled 2-d Exponential Data |
| friedman.1.data | First Friedman Dataset |
| interp.loess | Lowess 2-d interpolation onto a uniform grid |
| 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 MAP Treed Gaussian Process Models |