Package: magp
Title: Mapping-Based Additive Gaussian Process Models
Version: 0.12.0
Authors@R: c(
    person("Tony", "Wang", email = "wangtony883@gmail.com",
           role = c("aut", "cre", "cph")),
    person("Qian", "Xiao", role = c("aut", "cph")),
    person("Yaping", "Wang", role = "cph"),
    person("Abhyuday", "Mandal", role = "cph"),
    person("Xinwei", "Deng", role = "cph"))
Description: 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>.
License: MIT + file LICENSE
URL: https://github.com/twskr/magp,
        https://CRAN.R-project.org/package=magp,
        https://twskr.github.io/magp/
BugReports: https://github.com/twskr/magp/issues
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
Imports: Rcpp, nloptr, parallel, stats
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: yes
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: cmake
Repository: https://twskr.r-universe.dev
Date/Publication: 2026-10-06 02:58:04 UTC
RemoteUrl: https://github.com/twskr/magp
RemoteRef: HEAD
RemoteSha: b4c1d5bf6d0f7857ae21318bbe839996cbfd7fe6
Packaged: 2026-10-11 12:09:02 UTC; root
Author: Tony Wang [aut, cre, cph],
  Qian Xiao [aut, cph],
  Yaping Wang [cph],
  Abhyuday Mandal [cph],
  Xinwei Deng [cph]
Maintainer: Tony Wang <wangtony883@gmail.com>