The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Fits convolution-based nonstationary Gaussian process models to point-referenced spatial data. The nonstationary covariance function allows the user to specify the underlying correlation structure and which spatial dependence parameters should be allowed to vary over space: the anisotropy, nugget variance, and process variance. The parameters are estimated via maximum likelihood, using a local likelihood approach. Also provided are functions to fit stationary spatial models for comparison, calculate the Kriging predictor and standard errors, and create various plots to visualize nonstationarity.
| Version: | 1.2.7 |
| Depends: | R (≥ 3.1.2) |
| Imports: | stats, graphics, ellipse, fields, MASS, plotrix, StatMatch |
| Published: | 2021-01-16 |
| DOI: | 10.32614/CRAN.package.convoSPAT |
| Author: | Mark D. Risser [aut, cre] |
| Maintainer: | Mark D. Risser <markdrisser at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | http://github.com/markdrisser/convoSPAT |
| NeedsCompilation: | no |
| Citation: | convoSPAT citation info |
| CRAN checks: | convoSPAT results |
| Reference manual: | convoSPAT.pdf |
| Package source: | convoSPAT_1.2.7.tar.gz |
| Windows binaries: | r-devel: convoSPAT_1.2.7.zip, r-release: convoSPAT_1.2.7.zip, r-oldrel: convoSPAT_1.2.7.zip |
| macOS binaries: | r-release (arm64): convoSPAT_1.2.7.tgz, r-oldrel (arm64): convoSPAT_1.2.7.tgz, r-release (x86_64): convoSPAT_1.2.7.tgz, r-oldrel (x86_64): convoSPAT_1.2.7.tgz |
| Old sources: | convoSPAT archive |
Please use the canonical form https://CRAN.R-project.org/package=convoSPAT to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.