Implementation of the Direct Sampling Spatial Prior
Overview
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.
- Fixed some minor typo in the plots created by
plot.dsspMod()and added a title to the covariates grid plot. - Updated vignette and README to use
plot()andsummary()in examples. - Use
{interp}instead of{akima}for contour plots due to licensing.
From NEWS.md in the release
Install
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Documentation
- Help pages
- 11includes a package overview page
- Examples that run
- 100%10 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-12-25issues were not addressed in time
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- unarchivedReturned to CRAN2022-07-12
- 0.1.12022-07-12 · diff ↗
- archivedRemoved from CRAN2022-07-04no response to request to replace 'akima' by 'interp'
- 0.1.02022-06-02
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-06-02
- Total releases
- 2 / 4 yrs
- License
- GPL (>= 3) OSI
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