CRAN/E | TAG

TAG

Transformed Additive Gaussian Processes

Installation

About

Implement the transformed additive Gaussian (TAG) process and the transformed approximately additive Gaussian (TAAG) process proposed in Lin and Joseph (2020) doi:10.1080/00401706.2019.1665592. These functions can be used to model deterministic computer experiments, obtain predictions at new inputs, and quantify the uncertainty of the predictions. This research is supported by a U.S. National Science Foundation grant DMS-1712642 and a U.S. Army Research Office grant W911NF-17-1-0007.

Key Metrics

Version 0.5.1
R ≥ 3.5.0
Published 2021-06-07 1057 days ago
Needs compilation? yes
License GPL-2
CRAN checks TAG results

Downloads

Yesterday 5 -38%
Last 7 days 53 -23%
Last 30 days 187 +4%
Last 90 days 531 -33%
Last 365 days 2.387 -19%

Maintainer

Maintainer

Li-Hsiang Lin

llin79@gatech.edu

Authors

Li-Hsiang Lin
V. Roshan Joseph

Material

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

TAG archive

Depends

R ≥ 3.5.0

Imports

Rcpp
DiceKriging
Matrix
mgcv
FastGP
mlegp
randtoolbox
foreach

LinkingTo

Rcpp
RcppArmadillo