Package: GPfit 1.0-9

Hugh Chipman

GPfit: Gaussian Processes Modeling

A computationally stable approach of fitting a Gaussian Process (GP) model to a deterministic simulator.

Authors:Blake MacDoanld [aut], Hugh Chipman [aut, cre], Chris Campbell [ctb], Pritam Ranjan [aut]

GPfit_1.0-9.tar.gz
GPfit_1.0-9.zip(r-4.7-any)GPfit_1.0-9.zip(r-4.6-any)
GPfit_1.0-9.tar.gz(r-4.7-any)GPfit_1.0-9.tar.gz(r-4.6-any)
GPfit_1.0-9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
GPfit/json (API)

# Install 'GPfit' in R:
install.packages('GPfit', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.96 score 1 stars 4 packages 147 scripts 5.2k downloads 1 mentions 6 exports 3 dependencies

Last updated from:1f559b690c. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK104
source / vignettesOK160
linux-releaseOK116
windows-develOK79
windows-releaseOK85
wasm-releaseOK82

Exports:corr_matrixGP_devianceGP_fitplot.GPpredict.GPscale_norm

Dependencies:latticelhsRcpp