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.
Draw samples from the direct sampling spatial prior model as described in G. White, D. Sun, P. Speckman (2019) <doi:10.48550/arXiv.1906.05575>. The basic model assumes a Gaussian likelihood and derives a spatial prior based on thin-plate splines.
Version: | 0.1.1 |
Imports: | mcmcse, posterior, rust, sp |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | cowplot, ggplot2, gstat, interp, knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2022-07-12 |
DOI: | 10.32614/CRAN.package.DSSP |
Author: | Gentry White |
Maintainer: | Gentry White <gentry.white at qut.edu.au> |
BugReports: | https://github.com/gentrywhite/DSSP/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/gentrywhite/DSSP |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | DSSP results |
Reference manual: | DSSP.pdf |
Vignettes: |
dssp |
Package source: | DSSP_0.1.1.tar.gz |
Windows binaries: | r-devel: DSSP_0.1.1.zip, r-release: DSSP_0.1.1.zip, r-oldrel: DSSP_0.1.1.zip |
macOS binaries: | r-release (arm64): DSSP_0.1.1.tgz, r-oldrel (arm64): DSSP_0.1.1.tgz, r-release (x86_64): DSSP_0.1.1.tgz, r-oldrel (x86_64): DSSP_0.1.1.tgz |
Old sources: | DSSP archive |
Please use the canonical form https://CRAN.R-project.org/package=DSSP 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.