Package: dgpsi 2.6.0-9000

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/>.

Authors:Deyu Ming [aut, cre, cph], Daniel Williamson [aut]

dgpsi_2.6.0-9000.tar.gz
dgpsi_2.6.0-9000.zip(r-4.7-any)dgpsi_2.6.0-9000.zip(r-4.6-any)dgpsi_2.6.0-9000.zip(r-4.5-any)
dgpsi_2.6.0-9000.tgz(r-4.6-any)dgpsi_2.6.0-9000.tgz(r-4.5-any)
dgpsi_2.6.0-9000.tar.gz(r-4.7-any)dgpsi_2.6.0-9000.tar.gz(r-4.6-any)
dgpsi_2.6.0-9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dgpsi/json (API)

# Install 'dgpsi' in R:

install.packages('dgpsi', repos = c('https://mingdeyu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mingdeyu/dgpsi-r/issues

Pkgdown/docs site:https://mingdeyu.github.io

On CRAN:

deep-gaussian-processes emulation gaussian-processes surrogate-models

5.80 score 1 stars 79 scripts 363 downloads 28 exports 102 dependencies

Last updated from:ecd384343c. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	136
source / vignettes	OK	245
linux-release	OK	161
macos-release	OK	205
macos-oldrel	OK	194
windows-devel	OK	107
windows-release	OK	106
windows-oldrel	OK	131
wasm-release	OK	136

Exports:alm continue deserialize design dgp draw get_thread_num gp init_py lgp mice nllik pack prune read serialize set_id set_imp set_seed set_thread_num set_vecchia trace_plot unpack update validate vigf window write

Dependencies:askpass base64enc benchmarkme benchmarkmeData bslib cachem class classInt clhs cli cluster codetools cpp11 curl DBI digest doParallel dplyr e1071 evaluate farver fastmap fontawesome foreach fs generics ggforce ggplot2 glue gtable here highr htmltools htmlwidgets httr isoband iterators jquerylib jsonlite kableExtra KernSmooth knitr labeling lattice lhs lifecycle magrittr MASS Matrix memoise mime openssl patchwork pillar pkgconfig plyr png polyclip proxy purrr R6 rappdirs raster RColorBrewer Rcpp RcppArmadillo RcppTOML reshape2 reticulate rlang rmarkdown rprojroot rstudioapi s2 S7 sass scales sf sp stringi stringr svglite sys systemfonts terra textshaping tibble tidyr tidyselect tinytex tweenr units utf8 uuid vctrs viridisLite visNetwork withr wk xfun xml2 yaml

A Quick Guide to dgpsi

Load the packages | Set up the step function | Training | Validation | Prediction

Rendered fromdgpsi.Rmdusingknitr::rmarkdown

Last update: 2025-10-19
Started: 2022-08-16

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Locate the next design point(s) for a (D)GP emulator or a bundle of (D)GP emulators using Active Learning MacKay (ALM)	alm alm.bundle alm.dgp alm.gp
Continue training a DGP emulator	continue
Restore the serialized emulator	deserialize
Sequential design of a (D)GP emulator or a bundle of (D)GP emulators	design design.bundle design.dgp design.gp
Deep Gaussian process emulator construction	dgp
Validation and diagnostic plots for a sequential design	draw draw.bundle draw.dgp draw.gp
Get the number of threads	get_thread_num
Gaussian process emulator construction	gp
'python' environment initialization	init_py
Linked (D)GP emulator construction	lgp
Locate the next design point for a (D)GP emulator or a bundle of (D)GP emulators using MICE	mice mice.bundle mice.dgp mice.gp
Calculate the predictive negative log-likelihood	nllik
Pack GP and DGP emulators into a bundle	pack
Validation plots of a constructed GP, DGP, or linked (D)GP emulator	plot plot.dgp plot.gp plot.lgp
Prediction from GP, DGP, or linked (D)GP emulators	predict predict.dgp predict.gp predict.lgp
Static pruning of a DGP emulator	prune
Load the stored emulator	read
Serialize the constructed emulator	serialize
Set Emulator ID	set_id
Reset number of imputations for a DGP emulator	set_imp
Random seed generator	set_seed
Set the number of threads	set_thread_num
Add or remove the Vecchia approximation	set_vecchia
Summary of a constructed GP, DGP, or linked (D)GP emulator	summary summary.dgp summary.gp summary.lgp
Trace plot for DGP hyperparameters	trace_plot
Unpack a bundle of (D)GP emulators	unpack
Update a GP or DGP emulator	update update.dgp update.gp
Validate a constructed GP, DGP, or linked (D)GP emulator	validate validate.dgp validate.gp validate.lgp
Locate the next design point for a (D)GP emulator or a bundle of (D)GP emulators using VIGF	vigf vigf.bundle vigf.dgp vigf.gp
Trim the sequence of hyperparameter estimates within a DGP emulator	window
Save the constructed emulator	write