spCF
0.2.0Coarse-to-Fine Spatial and Spatio-Temporal Modeling
Overview
Provides functions for coarse-to-fine spatial and spatio-temporal modeling, enabling fast prediction, regression, and uncertainty quantification for moderate to large datasets. For methodological details, see Murakami et al. (2026) doi:10.1111/gean.70034 and related work on generalized linear, downscaling, and dynamic spatio-temporal extensions.
Install
Health
- OK2026-08-0413 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 80%
- Documented parameters
- 96%
- Return-value docs
- 100%
- References docs
- 73%
Downloads
Repository
Repository practices
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/dmuraka/spcf on 2026-08-16.
Development tooling
Uses AI-assisted development tooling (declared in repo)
Earliest detected marker: claude on 2026-05-06
Most recent: claude on 2026-05-06
- claude: on or before 2026-05-06 · evidence B, D
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2026-01-19
- Total releases
- 4 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 1.9 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("spCF")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 v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.