Package: GPpenalty
Title: Penalized Likelihood in Gaussian Processes
Version: 0.1.0
Authors@R: 
    person("Ayumi", "Mutoh", , "amutoh@ncsu.edu", role = c("aut", "cre"))
Description: Implements maximum likelihood estimation for Gaussian processes, supporting both isotropic and separable models with predictive capabilities. Includes penalized likelihood estimation following Li and Sudjianto (2005, <doi:10.1198/004017004000000671>), using score-based metrics that account for uncertainty (See Gneiting and Raftery 2007, <doi:10.1198/016214506000001437>). Includes cross validation techniques for tuning parameter selection. Designed specifically for small datasets.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 3.5.0)
LinkingTo: Rcpp
Imports: Rcpp, doParallel, foreach
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2025-09-30 21:26:31 UTC; ayumi
Author: Ayumi Mutoh [aut, cre]
Maintainer: Ayumi Mutoh <amutoh@ncsu.edu>
Repository: CRAN
Date/Publication: 2025-10-07 18:00:07 UTC
