Package: GEMSS
Title: Generalization Error Minimization in SubSampling for Gaussian
        Processes
Version: 0.1.2
Authors@R: 
    person("Sheng-Zhan", "Hua", , "szhua@g.ucla.edu", role = c("aut", "cre"))
Description: Implements the GEMSS algorithm for sequential subdata
        selection in large-scale Gaussian process modeling (Chang, Hua,
        and Wu, 2026) <doi:10.1080/00401706.2026.2670596>. The method
        selects data points by a criterion consisting of predictive and
        space-filling parts, enabling efficient surrogate modeling for
        massive datasets.
License: GPL (>= 3)
Encoding: UTF-8
Imports: Rcpp (>= 1.0.0), hetGP, twinning
Suggests: ContourFunctions,
LinkingTo: Rcpp, RcppArmadillo
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-10-12 11:01:39 UTC; root
Author: Sheng-Zhan Hua [aut, cre]
Maintainer: Sheng-Zhan Hua <szhua@g.ucla.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-16 19:00:02 UTC
RemoteUrl: https://github.com/cran/GEMSS
RemoteRef: HEAD
RemoteSha: 86cf2ad35ee9cc7b5c62ff8e93d583b5f70462ec