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.
| Version: | 0.6.16 |
| Depends: | coda, maps, Matrix, nlme |
| Imports: | fields, graphics, grDevices, methods, stats |
| Published: | 2019-12-16 |
| Author: | Brian J Smith [aut, cre], Jun Yan [aut], Mary Kathryn Cowles [aut] |
| Maintainer: | Brian J Smith <brian-j-smith at uiowa.edu> |
| License: | GPL-2 |
| URL: | http://www.jstatsoft.org/v25/i10 |
| NeedsCompilation: | no |
| Citation: | ramps citation info |
| In views: | Bayesian, Spatial |
| CRAN checks: | ramps results |
| Reference manual: | ramps.pdf |
| Package source: | ramps_0.6.16.tar.gz |
| Windows binaries: | r-devel: ramps_0.6.16.zip, r-release: ramps_0.6.16.zip, r-oldrel: ramps_0.6.16.zip |
| macOS binaries: | r-release: ramps_0.6.16.tgz, r-oldrel: ramps_0.6.16.tgz |
| Old sources: | ramps archive |
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