Package: PEcAn.emulator 1.8.0.9000
Mike Dietze
PEcAn.emulator: Gausian Process Emulator
Implementation of a Gaussian Process model (both likelihood and bayesian approaches) for kriging and model emulation. Includes functions for sampling design and prediction.
Authors:
PEcAn.emulator_1.8.0.9000.tar.gz
PEcAn.emulator_1.8.0.9000.zip(r-4.5)PEcAn.emulator_1.8.0.9000.zip(r-4.4)PEcAn.emulator_1.8.0.9000.zip(r-4.3)
PEcAn.emulator_1.8.0.9000.tgz(r-4.4-any)PEcAn.emulator_1.8.0.9000.tgz(r-4.3-any)
PEcAn.emulator_1.8.0.9000.tar.gz(r-4.5-noble)PEcAn.emulator_1.8.0.9000.tar.gz(r-4.4-noble)
PEcAn.emulator_1.8.0.9000.tgz(r-4.4-emscripten)PEcAn.emulator_1.8.0.9000.tgz(r-4.3-emscripten)
PEcAn.emulator.pdf |PEcAn.emulator.html✨
PEcAn.emulator/json (API)
NEWS
| # Install 'PEcAn.emulator' in R: |
| install.packages('PEcAn.emulator', repos = c('https://pecanproject.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pecanproject/pecan/issues
bayesiancyberinfrastructuredata-assimilationdata-scienceecosystem-modelecosystem-scienceforecastingmeta-analysisnational-science-foundationpecanplants
Last updated 2 days agofrom:cab30e89b4. Checks:OK: 1 WARNING: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | WARNING | Nov 20 2024 |
| R-4.5-linux | WARNING | Nov 20 2024 |
| R-4.4-win | WARNING | Nov 20 2024 |
| R-4.4-mac | WARNING | Nov 20 2024 |
| R-4.3-win | WARNING | Nov 20 2024 |
| R-4.3-mac | WARNING | Nov 20 2024 |
Exports:aratecalcSpatialCovdistancedistance.matrixdistance12.matrixGaussProcessgp_mlegp_mle2groupidjumpldinvgammalhcmvjumpnderivpplot.jumpsummarize.GP
Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackmvtnormquantregSparseMsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| arate | arate |
| calcSpatialCov | calcSpatialCov |
| calcSpatialCov.list | calcSpatialCov.list |
| calcSpatialCov.matrix | calcSpatialCov.matrix |
| distance | distance |
| distance.matrix | distance.martix distance.matrix |
| distance12.matrix | distance12.martix distance12.matrix |
| GaussProcess | GaussProcess |
| gp_mle | gp_mle |
| gp_mle2 | gp_mle2 |
| groupid | groupid |
| jump | jump |
| define a class for automatically tuning jump distributions | jump-class |
| ldinvgamma | ldinvgamma |
| lhc | lhc |
| mvjump | mvjump |
| multivariate version of jump class | mvjump-class |
| nderiv | nderiv |
| p | p |
| p.jump | p.jump |
| p.mvjump | p.mvjump |
| plot.jump | plot.jump |
| plot.mvjump | plot.mvjump |
| predict.density | predict.density |
| predict.GP | predict.GP |
| summarize.GP | summarize.GP |
| update.jump | update.jump |
| update.mvjump | update.mvjump |
