Crandore Hub

dgpsi

Interface to 'dgpsi' for Deep and Linked Gaussian Process Emulations

Interface to the 'python' package 'dgpsi' for Gaussian process, deep Gaussian process, and linked deep Gaussian process emulations of computer models and networks using stochastic imputation (SI). The implementations follow Ming & Guillas (2021) <doi:10.1137/20M1323771> and Ming, Williamson, & Guillas (2023) <doi:10.1080/00401706.2022.2124311> and Ming & Williamson (2023) <doi:10.48550/arXiv.2306.01212>. To get started with the package, see <https://mingdeyu.github.io/dgpsi-R/>.

Versions across snapshots

VersionRepositoryFileSize
2.6.0 rolling linux/jammy R-4.5 dgpsi_2.6.0.tar.gz 1.0 MiB
2.6.0 rolling linux/noble R-4.5 dgpsi_2.6.0.tar.gz 1.0 MiB
2.6.0 rolling source/ R- dgpsi_2.6.0.tar.gz 698.8 KiB
2.6.0 latest linux/jammy R-4.5 dgpsi_2.6.0.tar.gz 1.0 MiB
2.6.0 latest linux/noble R-4.5 dgpsi_2.6.0.tar.gz 1.0 MiB
2.6.0 latest source/ R- dgpsi_2.6.0.tar.gz 698.8 KiB
2.6.0 2026-04-26 source/ R- dgpsi_2.6.0.tar.gz 698.8 KiB
2.6.0 2026-04-23 source/ R- dgpsi_2.6.0.tar.gz 698.8 KiB
2.6.0 2026-04-09 windows/windows R-4.5 dgpsi_2.6.0.zip 1.0 MiB
2.5.0 2025-04-20 source/ R- dgpsi_2.5.0.tar.gz 661.5 KiB

Dependencies (latest)

Imports

Suggests