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-4.5-noble)twingp_1.0.0.tar.gz(r-4.4-noble)
twingp_1.0.0.tgz(r-4.4-emscripten)twingp_1.0.0.tgz(r-4.3-emscripten)
twingp.pdf |twingp.html✨
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 3 months agofrom:521b7aa80c. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-linux-x86_64 | OK | Nov 20 2024 |
Exports:twingp