Package: GPpenalty
Title: Penalized Likelihood in Gaussian Processes
Version: 1.0.0
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 decorrelated prediction error (DPE)-based metrics, motivated by Mahalanobis distance, that account for uncertainty. 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, RcppArmadillo
Imports: Rcpp, doParallel, foreach
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2025-11-15 22:16:53 UTC; ayumi
Author: Ayumi Mutoh [aut, cre]
Maintainer: Ayumi Mutoh <amutoh@ncsu.edu>
Repository: CRAN
Date/Publication: 2025-11-15 22:40:14 UTC
Built: R 4.5.1; x86_64-apple-darwin20; 2025-11-16 01:28:29 UTC; unix
Archs: GPpenalty.so.dSYM
