GPvecchia
0.1.8Scalable Gaussian-Process Approximations
Overview
Fast scalable Gaussian process approximations, particularly well suited to spatial (aerial, remote-sensed) and environmental data, described in more detail in Katzfuss and Guinness (2017) doi:10.48550/arXiv.1708.06302. Package also contains a fast implementation of the incomplete Cholesky decomposition (IC0), based on Schaefer et al. (2019) doi:10.48550/arXiv.1706.02205 and MaxMin ordering proposed in Guinness (2018) doi:10.48550/arXiv.1609.05372.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2212 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1811 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 90%
- Documented parameters
- 97%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Dependencies
Code & Tests
People & History
7 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.8Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.72024-03-12 · diff ↗
- 0.1.62024-02-08 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.1.42022-10-24 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.32020-04-22 · diff ↗
- 0.1.22020-04-14 · diff ↗
- unarchivedReturned to CRAN2020-04-14
- archivedRemoved from CRAN2019-10-17check errors were not corrected in time ASAN/valgrind (including heap overflow on attempted fix)
- 0.1.02019-10-02
Show 1 earlier events
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-10-02
- Total releases
- 7 / 7 yrs
- License
- GPL (>= 2) OSI
- Download size
- 186 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("GPvecchia")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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