# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "TAG" in publications use:'
type: software
license: GPL-2.0-only
title: 'TAG: Transformed Additive Gaussian Processes'
version: 0.7.1
doi: 10.32614/CRAN.package.TAG
abstract: 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.
authors:
- family-names: Lin
  given-names: Li-Hsiang
  email: lhlin@gsu.edu
- family-names: Joseph
  given-names: V. Roshan
repository: https://geauxsl.r-universe.dev
commit: 8be27154a5092781df22ce6d9ba2a24fe1ba818b
date-released: '2026-04-10'
contact:
- family-names: Lin
  given-names: Li-Hsiang
  email: lhlin@gsu.edu