DSSP
0.1.1Implementation 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.
Install
Health
CRAN check results are not tracked yet.
Documentation
- Examples that run
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- 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
- 0.1.12022-07-12 · diff ↗
- unarchivedReturned to CRAN2022-07-12
- 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
- Total releases
- 2
- License
- GPL (>= 3) OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("DSSP")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.