Package: ramps 0.6.18
ramps: Bayesian Geostatistical Modeling with RAMPS
Bayesian geostatistical modeling of Gaussian processes using a reparameterized and marginalized posterior sampling (RAMPS) algorithm designed to lower autocorrelation in MCMC samples. Package performance is tuned for large spatial datasets.
Authors:
ramps_0.6.18.tar.gz
ramps_0.6.18.zip(r-4.5)ramps_0.6.18.zip(r-4.4)ramps_0.6.18.zip(r-4.3)
ramps_0.6.18.tgz(r-4.4-any)ramps_0.6.18.tgz(r-4.3-any)
ramps_0.6.18.tar.gz(r-4.5-noble)ramps_0.6.18.tar.gz(r-4.4-noble)
ramps_0.6.18.tgz(r-4.4-emscripten)ramps_0.6.18.tgz(r-4.3-emscripten)
ramps.pdf |ramps.html✨
ramps/json (API)
# Install 'ramps' in R: |
install.packages('ramps', repos = c('https://brian-j-smith.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 2 years agofrom:af67bcc81f. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 15 2024 |
R-4.5-win | OK | Nov 15 2024 |
R-4.5-linux | OK | Nov 15 2024 |
R-4.4-win | OK | Nov 15 2024 |
R-4.4-mac | OK | Nov 15 2024 |
R-4.3-win | OK | Nov 15 2024 |
R-4.3-mac | OK | Nov 15 2024 |
Exports:corRCauchycorRExpcorRExp2corRExpwrcorRExpwr2corRExpwr2DtcorRGauscorRGneitcorRLincorRMaterncorRSphercorRWaveDICexpand.chaingenUSStateGridgenUSStateSitesgeorampsparamramps.control
Dependencies:codadotCall64fieldslatticemapsMatrixnlmeRcppspamviridisLite