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DSSP: Implementation of the Direct Sampling Spatial Prior

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 WhiteORCID iD [aut, cre], Rex ParsonsORCID iD [aut]
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[issues need fixing before 2025-12-18]

Documentation:

Reference manual:DSSP.html ,DSSP.pdf
Vignettes:dssp (source,R code)

Downloads:

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

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=DSSPto link to this page.


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