magp: Mapping-Based Additive Gaussian Process Models

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'. Initial-design functions combine a space-filling Latin hypercube with sequence permutations. The sequence portion can be generated randomly or optimized with simulated annealing or space-filling threshold accepting. Expected improvement can be optimized over both parts of the input, and a sequential interface supports Bayesian optimization of an expensive user-supplied objective. An integrated workflow can generate the initial design, evaluate the objective, and continue the sequential search in one call. The model was introduced by Xiao et al. (2024) <doi:10.1080/01621459.2022.2123335>.

Version: 0.12.0
Imports: Rcpp, nloptr, parallel, stats
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-09-24
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>
BugReports: https://github.com/twskr/magp/issues
License: MIT + file LICENSE
URL: https://github.com/twskr/magp, https://CRAN.R-project.org/package=magp
NeedsCompilation: yes
Citation: magp citation info
Materials: README, NEWS
CRAN checks: magp results

Documentation:

Reference manual: magp.html , magp.pdf
Vignettes: Get started with magp (source, R code)
Design and sequential optimization (source, R code)
Computational benchmark (source, R code)

Downloads:

Package source: magp_0.12.0.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
Old sources: magp archive

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