Package: gopher 0.5.1

gopher: tidymodels-Compatible Gaussian Process Model Zoo

A gateway to various Gaussian Process (GP) packages available on CRAN, including gstat, fields, GPvecchia, spNNGP, and PrestoGP. Provides a unified tidymodels-native interface through parsnip for model parameter adjustment and hyperparameter tuning. Supports spatial-only and spatiotemporal Kriging, sf inputs, prediction capabilities, and covariates for residual Gaussian Process (Universal Kriging) models. Parameters are automatically matched between the unified Kriging-centered argument names in gstat and the formulaic arguments used in other packages for the same construct.

Authors:Insang Song [aut, cre], C Codex [aut]

gopher_0.5.1.tar.gz
gopher_0.5.1.zip(r-4.7-any)gopher_0.5.1.zip(r-4.6-any)gopher_0.5.1.zip(r-4.5-any)
gopher_0.5.1.tgz(r-4.6-any)gopher_0.5.1.tgz(r-4.5-any)
gopher_0.5.1.tar.gz(r-4.7-any)gopher_0.5.1.tar.gz(r-4.6-any)
gopher_0.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
gopher/json (API)

# Install 'gopher' in R:

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

Bug tracker:https://github.com/sigmafelix/gopher/issues

On CRAN:

3.61 score 27 scripts 17 exports 46 dependencies

Last updated from:2c5ab32f64. Checks:7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	WARNING	250
source / vignettes	OK	289
linux-release	WARNING	220
macos-release	WARNING	121
macos-oldrel	WARNING	111
windows-devel	WARNING	110
windows-release	WARNING	141
windows-oldrel	WARNING	173
wasm-release	OK	177

Exports:covariance_function fields_gp_fit fields_gp_predict gaussian_process_spatial gp_nugget gp_range gp_sill GPvecchia_gp_fit GPvecchia_gp_predict gstat_gp_fit gstat_gp_predict PrestoGP_gp_fit PrestoGP_gp_predict sdmTMB_gp_fit sdmTMB_gp_predict spNNGP_gp_fit spNNGP_gp_predict

Dependencies:class classInt cli codetools cpp11 DBI dplyr e1071 farver generics ggplot2 globals glue gtable hardhat isoband KernSmooth labeling lifecycle magrittr parsnip pillar pkgconfig prettyunits proxy purrr R6 RColorBrewer Rcpp rlang s2 S7 scales sf sparsevctrs stringi stringr tibble tidyr tidyselect units utf8 vctrs viridisLite withr wk

Demonstration of Supported Models

Rendered fromsupported-models-zenodo.Rmdusingknitr::rmarkdown

Last update: 2026-04-11
Started: 2026-04-11

Help page	Topics
Covariance function type (qualitative tuning parameter)	covariance_function
Fit a Gaussian Process model using the fields engine	fields_gp_fit
Predict from a fields-fitted Gaussian Process model	fields_gp_predict
Gaussian Process Model for Spatial and Spatiotemporal Data	gaussian_process_spatial update.gaussian_process_spatial
GP nugget variance (quantitative tuning parameter)	gp_nugget
GP range parameter (quantitative tuning parameter)	gp_range
GP partial sill variance (quantitative tuning parameter)	gp_sill
Fit a Gaussian Process model using the GPvecchia engine	GPvecchia_gp_fit
Predict from a GPvecchia-fitted Gaussian Process model	GPvecchia_gp_predict
Fit a Gaussian Process model using the gstat engine	gstat_gp_fit
Predict from a gstat-fitted Gaussian Process model	gstat_gp_predict
Fit a Gaussian Process model using the PrestoGP engine	PrestoGP_gp_fit
Predict from a PrestoGP-fitted Gaussian Process model	PrestoGP_gp_predict
Fit a Gaussian Process model using the sdmTMB engine	sdmTMB_gp_fit
Predict from an sdmTMB-fitted Gaussian Process model	sdmTMB_gp_predict
Fit a Gaussian Process model using the spNNGP engine	spNNGP_gp_fit
Predict from an spNNGP-fitted Gaussian Process model	spNNGP_gp_predict

Package: gopher 0.5.1

gopher: tidymodels-Compatible Gaussian Process Model Zoo

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Usage by other packages (reverse dependencies)