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twingp  

A Fast Global-Local Gaussian Process Approximation
View on CRAN: Click here


Download and install twingp package within the R console
Install from CRAN:
install.packages("twingp")

Install from Github:
library("remotes")
install_github("cran/twingp")

Install by package version:
library("remotes")
install_version("twingp", "1.0.0")



Attach the package and use:
library("twingp")
Maintained by
Akhil Vakayil
[Scholar Profile | Author Map]
First Published: 2024-09-20
Latest Update: 2024-09-20
Description:
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.
How to cite:
Akhil Vakayil (2024). twingp: A Fast Global-Local Gaussian Process Approximation. R package version 1.0.0, https://cran.r-project.org/web/packages/twingp. Accessed 23 Feb. 2025.
Previous versions and publish date:
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Complete documentation for twingp
Functions, R codes and Examples using the twingp R package
Full twingp package functions and examples
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