The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Construction and smart selection of Gaussian process models for analysis of computer experiments with emphasis on treatment of functional inputs that are regularly sampled. This package offers: (i) flexible modeling of functional-input regression problems through the fairly general Gaussian process model; (ii) built-in dimension reduction for functional inputs; (iii) heuristic optimization of the structural parameters of the model (e.g., active inputs, kernel function, type of distance). Metamodeling background is provided in Betancourt et al. (2020) <doi:10.1016/j.ress.2020.106870>. The algorithm for structural parameter optimization is described in <https://hal.archives-ouvertes.fr/hal-02532713>.
| Version: | 0.3.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | methods, foreach, knitr, scales, microbenchmark, doFuture, doRNG, future, progressr |
| Published: | 2023-04-25 |
| Author: | Jose Betancourt [cre, aut], François Bachoc [aut], Thierry Klein [aut], Jeremy Rohmer [aut], Yves Deville [ctb], Deborah Idier [ctb] |
| Maintainer: | Jose Betancourt <djbetancourt at uninorte.edu.co> |
| BugReports: | https://github.com/djbetancourt-gh/funGp/issues |
| License: | GPL-3 |
| URL: | https://djbetancourt-gh.github.io/funGp/, https://github.com/djbetancourt-gh/funGp |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | funGp results |
| Reference manual: | funGp.pdf |
| Package source: | funGp_0.3.2.tar.gz |
| Windows binaries: | r-devel: funGp_0.3.2.zip, r-release: funGp_0.3.2.zip, r-oldrel: funGp_0.3.2.zip |
| macOS binaries: | r-release (arm64): funGp_0.3.2.tgz, r-oldrel (arm64): funGp_0.3.2.tgz, r-release (x86_64): funGp_0.3.2.tgz, r-oldrel (x86_64): funGp_0.3.2.tgz |
| Old sources: | funGp archive |
Please use the canonical form https://CRAN.R-project.org/package=funGp to link to this page.
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.
Health stats visible at Monitor.