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) <arXiv:1906.05575>. The basic model assumes a Gaussian likelihood and derives a spatial prior based on thin-plate splines.

Version: 0.1.0
Imports: mcmcse, posterior, rust, sp
LinkingTo: Rcpp, RcppArmadillo
Suggests: akima, cowplot, ggplot2, gstat, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-06-02
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

Documentation:

Reference manual: DSSP.pdf
Vignettes: dssp

Downloads:

Package source: DSSP_0.1.0.tar.gz
Windows binaries: r-devel: DSSP_0.1.0.zip, r-release: DSSP_0.1.0.zip, r-oldrel: DSSP_0.1.0.zip
macOS binaries: r-release (arm64): DSSP_0.1.0.tgz, r-oldrel (arm64): DSSP_0.1.0.tgz, r-release (x86_64): DSSP_0.1.0.tgz, r-oldrel (x86_64): DSSP_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DSSP to link to this page.