Package: twingp 1.0.0
Akhil Vakayil
twingp: A Fast Global-Local Gaussian Process Approximation
A global-local approximation framework for large-scale Gaussian process modeling. Please see Vakayil and Joseph (2024) <doi:10.1080/00401706.2023.2296451> for details. This work is supported by U.S. NSF grants CMMI-1921646 and DMREF-1921873.
Authors:
twingp_1.0.0.tar.gz
twingp_1.0.0.tar.gz(r-4.7-arm64)twingp_1.0.0.tar.gz(r-4.7-x86_64)twingp_1.0.0.tar.gz(r-4.6-arm64)twingp_1.0.0.tar.gz(r-4.6-x86_64)
twingp_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
twingp/json (API)
| # Install 'twingp' in R: |
| install.packages('twingp', 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 from:521b7aa80c. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 137 | ||
| linux-devel-x86_64 | OK | 120 | ||
| source / vignettes | OK | 194 | ||
| linux-release-arm64 | OK | 150 | ||
| linux-release-x86_64 | OK | 119 | ||
| wasm-release | OK | 125 |
Exports:twingp
