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activegp  

Gaussian Process Based Design and Analysis for the Active Subspace Method
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("activegp", "1.1.1")



Attach the package and use:
library("activegp")
Maintained by
Nathan Wycoff
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-06
Latest Update: 2024-05-25
Description:
The active subspace method is a sensitivity analysis technique that finds important linear combinations of input variables for a simulator. This package provides functions allowing estimation of the active subspace without gradient information using Gaussian processes as well as sequential experimental design tools to minimize the amount of data required to do so. Implements Wycoff et al. (2019) .
How to cite:
Nathan Wycoff (2020). activegp: Gaussian Process Based Design and Analysis for the Active Subspace Method. R package version 1.1.1, https://cran.r-project.org/web/packages/activegp. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.3 (2020-04-06 19:42), 1.0.4 (2020-04-24 06:20), 1.0.5 (2020-10-27 23:10), 1.0.6 (2021-12-01 01:40), 1.1.0 (2022-06-27 23:00), 1.1.1 (2024-05-25 23:30)
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Complete documentation for activegp
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