Package: DynamicGP 1.1-9
DynamicGP: Modelling and Analysis of Dynamic Computer Experiments
Emulating and solving inverse problems for dynamic computer experiments. It contains two major functionalities: (1) localized GP model for large-scale dynamic computer experiments using the algorithm proposed by Zhang et al. (2018) <arxiv:1611.09488>; (2) solving inverse problems in dynamic computer experiments. The current version only supports 64-bit version of R.
Authors:
DynamicGP_1.1-9.tar.gz
DynamicGP_1.1-9.tar.gz(r-4.5-noble)DynamicGP_1.1-9.tar.gz(r-4.4-noble)
DynamicGP_1.1-9.tgz(r-4.4-emscripten)DynamicGP_1.1-9.tgz(r-4.3-emscripten)
DynamicGP.pdf |DynamicGP.html✨
DynamicGP/json (API)
# Install 'DynamicGP' in R: |
install.packages('DynamicGP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:1eb19d2fd1. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 11 2024 |
R-4.5-linux-x86_64 | OK | Oct 12 2024 |