CGGP
1.0.4Composite Grid Gaussian Processes
Overview
Run computer experiments using the adaptive composite grid algorithm with a Gaussian process model. The algorithm works best when running an experiment that can evaluate thousands of points from a deterministic computer simulation. This package is an implementation of a forthcoming paper by Plumlee, Erickson, Ankenman, et al. For a preprint of the paper, contact the maintainer of this package.
Install
Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 84%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 5%
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Repository practices
7 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/collinerickson/cggp on 2026-08-02.
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Dependencies
Nothing depends on this yet.
Code & Tests
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
- RR 4.4.0 released · 2024-04-24
- 1.0.4Latest
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.0.32021-05-08 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.0.22020-03-29 · diff ↗
- 1.0.12019-06-15 · diff ↗
- 1.0.02019-06-13
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-06-13
- Total releases
- 5 / 7 yrs
- License
- GPL-3 OSI
- Download size
- 181 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet