Package: GEMSS
Title: Generalization Error Minimization in SubSampling for Gaussian
        Processes
Version: 0.1.1
Authors@R: 
    person("Sheng-Zhan", "Hua", , "szhua@g.ucla.edu", role = c("aut", "cre"))
Description: Implements the Generalization Error Minimization in SubSampling 
    (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
RoxygenNote: 7.3.3
Imports: Rcpp (>= 1.0.0), hetGP, twinning
Suggests: ContourFunctions
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2026-05-19 09:06:41 UTC; qq488
Author: Sheng-Zhan Hua [aut, cre]
Maintainer: Sheng-Zhan Hua <szhua@g.ucla.edu>
Repository: CRAN
Date/Publication: 2026-05-27 08:50:19 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-05-27 11:56:38 UTC; unix
Archs: GEMSS.so.dSYM
