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:
GPfit_1.0-9.tar.gz
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✨
card.svg |card.png
GPfit/json (API)
NEWS
| # Install 'GPfit' in R: |
| install.packages('GPfit', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:1f559b690c. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 115 | ||
| source / vignettes | OK | 143 | ||
| linux-release-x86_64 | OK | 116 | ||
| wasm-release | OK | 97 |
Exports:corr_matrixGP_devianceGP_fitplot.GPpredict.GPscale_norm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Gaussian Process Modeling | GPfit-package GPfit |
| Power Exponential or Matern Correlation Matrix | corr_matrix |
| Computes the Deviance of a GP model | GP_deviance |
| Gaussian Process Model fitting | GP_fit |
| Plotting GP model fits | plot plot.GP |
| Model Predictions from GPfit | fitted.GP predict predict.GP |
| GP model fit Summary | print.GP |
| Scale variable into normal range 0, 1 | scale_norm |
| Internal tools | sig_invb |
| Summary of GP model fit | summary.GP |