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.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.0.2) |
| Imports: | Rcpp, nloptr (≥ 1.2.0) |
| LinkingTo: | Rcpp, RcppEigen, nloptr (≥ 1.2.0) |
| Published: | 2024-09-20 |
| DOI: | 10.32614/CRAN.package.twingp |
| Author: | Akhil Vakayil 
[aut, cre],
V. Roshan Joseph
[aut, ths],
Jose L. Blanco [ctb] (nanoflann author) |
| Maintainer: | Akhil Vakayil <akhilv at gatech.edu> |
| License: | Apache License (== 2.0) |
| Copyright: | See the file COPYRIGHTS for copyright details twingp copyright details |
| NeedsCompilation: | yes |
| CRAN checks: | twingp results |
Documentation:
| Reference manual: | twingp.pdf |
Downloads:
| Package source: | twingp_1.0.0.tar.gz |
| Windows binaries: | r-devel: twingp_1.0.0.zip, r-release: twingp_1.0.0.zip, r-oldrel: twingp_1.0.0.zip |
| macOS binaries: | r-release (arm64): twingp_1.0.0.tgz, r-oldrel (arm64): twingp_1.0.0.tgz, r-release (x86_64): twingp_1.0.0.tgz, r-oldrel (x86_64): twingp_1.0.0.tgz |
Linking:
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