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Performs Bayesian posterior inference for deep Gaussian processes following Sauer, Gramacy, and Higdon (2023, <doi:10.48550/arXiv.2012.08015>). See Sauer (2023, <http://hdl.handle.net/10919/114845>) for comprehensive methodological details and <https://bitbucket.org/gramacylab/deepgp-ex/> for a variety of coding examples. Models are trained through MCMC including elliptical slice sampling of latent Gaussian layers and Metropolis-Hastings sampling of kernel hyperparameters. Vecchia-approximation for faster computation is implemented following Sauer, Cooper, and Gramacy (2023, <doi:10.48550/arXiv.2204.02904>). Optional monotonic warpings are implemented following Barnett et al. (2024, <doi:10.48550/arXiv.2408.01540>). Downstream tasks include sequential design through active learning Cohn/integrated mean squared error (ALC/IMSE; Sauer, Gramacy, and Higdon, 2023), optimization through expected improvement (EI; Gramacy, Sauer, and Wycoff, 2022 <doi:10.48550/arXiv.2112.07457>), and contour location through entropy (Booth, Renganathan, and Gramacy, 2024 <doi:10.48550/arXiv.2308.04420>). Models extend up to three layers deep; a one layer model is equivalent to typical Gaussian process regression. Incorporates OpenMP and SNOW parallelization and utilizes C/C++ under the hood.
| Version: | 1.1.3 |
| Depends: | R (≥ 3.6) |
| Imports: | grDevices, graphics, stats, doParallel, foreach, parallel, GpGp, Matrix, Rcpp, mvtnorm, FNN |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | interp, knitr, rmarkdown |
| Published: | 2024-08-19 |
| DOI: | 10.32614/CRAN.package.deepgp |
| Author: | Annie S. Booth [aut, cre] |
| Maintainer: | Annie S. Booth <annie_booth at ncsu.edu> |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL] |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | deepgp results |
| Reference manual: | deepgp.pdf |
| Vignettes: |
deepgp (source, R code) |
| Package source: | deepgp_1.1.3.tar.gz |
| Windows binaries: | r-devel: deepgp_1.1.3.zip, r-release: deepgp_1.1.3.zip, r-oldrel: deepgp_1.1.3.zip |
| macOS binaries: | r-release (arm64): deepgp_1.1.3.tgz, r-oldrel (arm64): deepgp_1.1.3.tgz, r-release (x86_64): deepgp_1.1.3.tgz, r-oldrel (x86_64): deepgp_1.1.3.tgz |
| Old sources: | deepgp archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.