kergp
0.5.8Gaussian Process Laboratory
Overview
Gaussian process regression with an emphasis on kernels. Quantitative and qualitative inputs are accepted. Some pre-defined kernels are available, such as radial or tensor-sum for quantitative inputs, and compound symmetry, low rank, group kernel for qualitative inputs. The user can define new kernels and composite kernels through a formula mechanism. Useful methods include parameter estimation by maximum likelihood, simulation, prediction and leave-one-out validation.
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
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 96%
- Documented parameters
- 96%
- Return-value docs
- 89%
- References docs
- 45%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
8 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
- 0.5.8Latest
- RR 4.4.0 released · 2024-04-24
- 0.5.72024-02-05 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.5.52021-03-18 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.5.12020-02-05 · diff ↗
- 0.5.02019-09-30 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.4.02018-09-17 · diff ↗
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
Show 4 earlier events
- RR 3.3.0 released · 2016-05-03
- 0.2.02015-12-23 · diff ↗
- 0.1.02015-06-22
- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2015-06-22
- Total releases
- 8 / 11 yrs
- License
- GPL-3 OSI
- Download size
- 683 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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