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: 2026-07-16 17:56:44 UTC; shengzhanhua
Author: Sheng-Zhan Hua [aut, cre]
Maintainer: Sheng-Zhan Hua <szhua@g.ucla.edu>
Repository: CRAN
Date/Publication: 2026-07-16 19:00:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-07-16 22:53:07 UTC; unix
Archs: GEMSS.so.dSYM
