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tgp

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Bayesian Treed Gaussian Process Models

View on CRAN: Click here

Download and install tgp package within the R console
Install from CRAN:

 install.packages("tgp")

Install from Github:

 library("remotes")

                        install_github("cran/tgp")

Install by package version:

 library("remotes")

                        install_version("tgp", "2.4-22")

Attach the package and use:

 library("tgp")

Maintained by
Robert B. Gramacy
[Scholar Profile | Author Map]

All associated links for this package

First Published: 2006-01-05

Latest Update: 2023-11-28

Description:

Bayesian nonstationary, semiparametric nonlinear regression and design by treed Gaussian processes (GPs) with jumps to the limiting linear model (LLM).Special cases also implemented include Bayesian linear models, CART, treed linear models, stationary separable and isotropic GPs, and GP single-index models.Provides 1-d and 2-d plotting functions (with projection and slice capabilities) and tree drawing, designed for visualization of tgp-class output.Sensitivity analysis and multi-resolution models are supported. Sequential experimental design and adaptive sampling functions are also provided, including ALM, ALC, and expected improvement.The latter supports derivative-free optimization of noisy black-box functions.For details and tutorials, see Gramacy (2007) <doi:10.18637/jss.v019.i09> and Gramacy & Taddy (2010) <doi:10.18637/jss.v033.i06>.

How to cite:

Robert B. Gramacy (2006). tgp: Bayesian Treed Gaussian Process Models. R package version 2.4-22, https://cran.r-project.org/web/packages/tgp

Previous versions and publish date:

1.0-1 (2006-01-05 16:33), 1.0-2 (2006-01-13 09:16), 1.0 (2005-12-28 00:45), 1.1-1 (2006-02-27 12:36), 1.1-2 (2006-03-14 11:43), 1.1-3 (2006-04-19 09:35), 1.1-4 (2006-05-22 11:04), 1.1-5 (2006-05-29 10:04), 1.1-6 (2006-06-26 13:07), 1.1-7 (2006-08-23 21:59), 1.1-8 (2006-08-30 11:19), 1.1-9 (2006-09-04 11:07), 1.1-10 (2006-09-19 10:21), 1.1-11 (2006-09-20 19:51), 1.1 (2006-02-24 13:53), 1.2-1 (2006-12-04 22:01), 1.2-2 (2006-12-27 10:27), 1.2-3 (2007-04-11 10:22), 1.2-4 (2007-05-08 08:49), 1.2-5 (2007-05-29 17:43), 1.2-6 (2007-06-17 12:58), 1.2 (2006-11-28 10:17), 2.0-1 (2007-10-02 13:58), 2.0-2 (2007-12-12 08:57), 2.0-3 (2007-12-30 21:30), 2.0-4 (2008-01-25 14:24), 2.0 (2007-09-21 16:49), 2.1-1 (2008-04-08 08:04), 2.1-2 (2008-04-18 09:11), 2.1-3 (2008-10-09 19:40), 2.1-4 (2008-10-19 18:59), 2.1-5 (2008-10-25 14:53), 2.1-6 (2008-11-27 08:51), 2.1 (2008-03-24 22:33), 2.2-1 (2009-02-20 12:16), 2.2-2 (2009-05-29 09:01), 2.2-3 (2009-07-26 19:51), 2.2-4 (2009-11-22 17:27), 2.2 (2009-02-04 10:58), 2.3-1 (2010-02-08 11:38), 2.3-2 (2010-04-22 19:10), 2.3-3 (2010-04-25 09:27), 2.3-4 (2010-07-24 22:44), 2.3 (2009-12-26 19:05), 2.4-1 (2011-02-26 09:22), 2.4-2 (2011-04-08 15:50), 2.4-3 (2011-12-19 12:17), 2.4-5 (2012-02-02 21:13), 2.4-7 (2012-04-20 06:03), 2.4-8 (2012-10-19 15:03), 2.4-9 (2013-04-04 20:46), 2.4-11 (2014-12-08 07:50), 2.4-14 (2016-02-07 10:50), 2.4-16 (2020-09-07 14:40), 2.4-17 (2020-09-20 18:10), 2.4-18 (2022-04-03 21:50), 2.4-19 (2022-08-19 11:20), 2.4-20 (2022-10-19 00:50), 2.4-21 (2023-01-06 19:50), 2.4 (2010-09-21 10:15)

Other packages that cited tgp R package

View tgp citation profile

Other R packages that tgp depends, imports, suggests or enhances

View tgp dependency map

Functions, R codes and Examples using the tgp R package

Some associated functions: btgp . default.itemps . dopt.gp . exp2d.Z . exp2d . exp2d.rand . friedman.1.data . interp.loess . itemps . lhs . mapT . optim.tgp . partition . plot.tgp . predict.tgp . sens . tgp-internal . tgp-package . tgp.default.params . tgp.design . tgp.trees .
Some associated R codes: btgp.R . check.matrix.R . default.itemps.R . exp2d.R . friedman.1.data.R . lhs.R . mapT.R . mean0.range1.R . mrtgp.R . optim.tgp.R . plot.tgp.R . predict.tgp.R . print.tgp.R . sens.R . tgp.R . tgp.choose.R . tgp.cleanup.R . tgp.default.params.R . tgp.design.R . tgp.plot.proj.R . tgp.plot.slice.R . tgp.postprocess.R . tgp.read.traces.R . tgp.trees.R . Full tgp package functions and examples

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