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.
Stepwise Uncertainty Reduction criterion and algorithm for sequentially learning a Gaussian Process Classifier as described in Menz et al. (2025).
| Version: | 0.0.1 |
| Imports: | GPCsign, DiceKriging, KrigInv, future.apply, stats, TruncatedNormal, randtoolbox, rgenoud, graphics |
| Suggests: | future, DiceDesign, testthat, knitr |
| Published: | 2025-06-28 |
| DOI: | 10.32614/CRAN.package.ARCHISSUR |
| Author: | Morgane Menz [aut, cre], Miguel Munoz-Zuniga [aut], Delphine Sinoquet [aut], Naoual Serraji [ctb] |
| Maintainer: | Morgane Menz <morgane.menz at ifpen.fr> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | ARCHISSUR results |
| Reference manual: | ARCHISSUR.html , ARCHISSUR.pdf |
| Package source: | ARCHISSUR_0.0.1.tar.gz |
| Windows binaries: | r-devel: ARCHISSUR_0.0.1.zip, r-release: ARCHISSUR_0.0.1.zip, r-oldrel: ARCHISSUR_0.0.1.zip |
| macOS binaries: | r-release (arm64): ARCHISSUR_0.0.1.tgz, r-oldrel (arm64): ARCHISSUR_0.0.1.tgz, r-release (x86_64): ARCHISSUR_0.0.1.tgz, r-oldrel (x86_64): ARCHISSUR_0.0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=ARCHISSUR 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.