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 |
| 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: magp_0.8.0.zip, r-release: magp_0.8.0.zip, r-oldrel: magp_0.8.0.zip |
| 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 |
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