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TAG (version 0.5.1)

Transformed Additive Gaussian Processes

Description

Implement the transformed additive Gaussian (TAG) process and the transformed approximately additive Gaussian (TAAG) process proposed in Lin and Joseph (2020) . 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.

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Version

Install

install.packages('TAG')

Monthly Downloads

71

Version

0.5.1

License

GPL-2

Maintainer

Li-Hsiang Lin

Last Published

June 7th, 2021

Functions in TAG (0.5.1)

pred.TAG

Prediction from the TAG process
check.TAAG

Check TAAG
TAG1step

Conducting All Steps for Building TAG Processes
TAAG

Transformed Approximately Additive Gaussian Process
pred.TAAG

Prediction from the TAAG Process
initial.TAG

Initial Values of TAG Process
TAG

Transformed Additive Gaussian Process
plotTAG

Main Effects Plots from a TAG Process
cv.TAAG

Leave-One-Out Cross Validation Error of a TAG or TAAG Process