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 White ORCID iD [aut, cre], Rex Parsons ORCID 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 2025-11-15]

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:

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