CRAN/E | activegp

activegp

Gaussian Process Based Design and Analysis for the Active Subspace Method

Installation

About

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) .

Key Metrics

Version 1.1.0
R ≥ 3.4.0
Published 2022-06-27 663 days ago
Needs compilation? yes
License BSD_3_clause
License File
CRAN checks activegp results

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Maintainer

Maintainer

Nathan Wycoff

nathan.wycoff@georgetown.edu

Authors

Nathan Wycoff
Mickael Binois

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

activegp archive

Depends

R ≥ 3.4.0

Imports

Rcpp ≥ 0.12.18
hetGP ≥ 1.1.1
lhs
numDeriv
methods
MASS
RcppProgress

Suggests

testthat

LinkingTo

Rcpp
RcppArmadillo
RcppProgress