spTDyn
2.0.3Spatially Varying and Spatio-Temporal Dynamic Linear Models
Overview
Fits, spatially predicts, and temporally forecasts space-time data using Gaussian Process (GP): (1) spatially varying coefficient process models and (2) spatio-temporal dynamic linear models. Bakar et al., (2016). Bakar et al., (2015).
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
- 83%
- Documented parameters
- 89%
- Return-value docs
- 25%
- References docs
- 23%
Downloads
Dependencies
Code & Tests
Datasets
People & History
5 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 2.0.3Latest
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 2.0.22022-11-22 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 2.0.12020-06-02 · diff ↗
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 2.02017-10-24 · diff ↗
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 1.02015-06-11
Show 1 earlier events
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2015-06-11
- Total releases
- 5 / 11 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.4.0
- Bundled data
- 73 KB / 2 files
- Download size
- 147 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("spTDyn")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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