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.
Fits mapping-based additive Gaussian process models for experiments in which each component has both a quantitative level and a position in an ordered sequence. Two model structures are available: a compact two-dimensional mapping and a full mapping with one fewer dimension than the number of components. Both models support parameter estimation, point prediction, and plug-in predictive uncertainty. Input checks validate the sequence data and apply consistent scaling to the quantitative inputs. Computationally intensive covariance and gradient calculations are implemented in C++ with 'Rcpp'. The model was introduced by Xiao et al. (2024) <doi:10.1080/01621459.2022.2123335>.
| Version: | 0.8.0 |
| Imports: | Rcpp, nloptr, stats |
| LinkingTo: | Rcpp |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-09-03 |
| DOI: | 10.32614/CRAN.package.magp (may not be active yet) |
| Author: | Tony Wang [aut, cre, cph], Qian Xiao [aut, cph], Yaping Wang [cph], Abhyuday Mandal [cph], Xinwei Deng [cph] |
| Maintainer: | Tony Wang <wangtony883 at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | magp results |
| Reference manual: | magp.html , magp.pdf |
| Package source: | magp_0.8.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: magp_0.8.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): magp_0.8.0.tgz, r-oldrel (arm64): magp_0.8.0.tgz, r-release (x86_64): magp_0.8.0.tgz, r-oldrel (x86_64): magp_0.8.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=magp 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.