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DSSP  

Implementation of the Direct Sampling Spatial Prior
View on CRAN: Click here


Download and install DSSP package within the R console
Install from CRAN:
install.packages("DSSP")

Install from Github:
library("remotes")
install_github("cran/DSSP")

Install by package version:
library("remotes")
install_version("DSSP", "0.1.1")



Attach the package and use:
library("DSSP")
Maintained by
Gentry White
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-02
Latest Update: 2022-07-12
Description:
Draw samples from the direct sampling spatial prior model as described in G. White, D. Sun, P. Speckman (2019) . The basic model assumes a Gaussian likelihood and derives a spatial prior based on thin-plate splines.
How to cite:
Gentry White (2022). DSSP: Implementation of the Direct Sampling Spatial Prior. R package version 0.1.1, https://cran.r-project.org/web/packages/DSSP. Accessed 09 Jun. 2026.
Previous versions and publish date:
0.1.0 (2022-06-02 11:50), 0.1.1 (2022-07-12 13:00)
Other packages that cited DSSP R package
View DSSP citation profile
Other R packages that DSSP depends, imports, suggests or enhances
Complete documentation for DSSP
Functions, R codes and Examples using the DSSP R package
Some associated functions: DSSP-package . DSSP . make.M . plot.dsspMod . predict.dsspMod . residuals.dsspMod . sample.delta . sample.eta . sample.nu . summary.dsspMod . tps.rbf . 
Some associated R codes: DSSP.R . DSSP_fun.R . RcppExports.R . make_M.R . plot.R . predict.R . samplers.R . summary.R . utils.R . zzz.R .  Full DSSP package functions and examples
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