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 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
Roxygen: list(markdown = TRUE)
Imports: Rcpp (>= 1.0.0), hetGP, twinning
Suggests: ContourFunctions,
LinkingTo: Rcpp, RcppArmadillo
Config/roxygen2/version: 8.0.0
Repository: https://szhua-stat.r-universe.dev
Date/Publication: 2026-07-01 14:49:08 UTC
RemoteUrl: https://github.com/szhua-stat/gemss
RemoteRef: HEAD
RemoteSha: 9531810e6999fe47f817701ad1622c126f18eea5
NeedsCompilation: yes
Packaged: 2026-10-30 09:19:55 UTC; root
Author: Sheng-Zhan Hua [aut, cre]
Maintainer: Sheng-Zhan Hua <szhua@g.ucla.edu>