diffMeshGP
0.1.1Multi-Fidelity Computer Experiments Using the Tuo-Wu-Yu Model
Overview
This R function implements the nonstationary Kriging model proposed by Tuo, Wu and Yu (2014) DOI:10.1080/00401706.2013.842935 for analyzing multi-fidelity computer outputs. This function computes the maximum likelihood estimates for the model parameters as well as the predictive means and variances of the exact solution.
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
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 0%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.1Latest
- unarchivedReturned to CRAN2026-01-28
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- archivedRemoved from CRAN2023-08-19email to the maintainer is undeliverable
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.1.02017-05-12
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-05-12
- Total releases
- 2 / 9 yrs
- License
- GPL (>= 2) OSI
- Download size
- 5.6 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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