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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "MOFAT" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'MOFAT: Maximum One-Factor-at-a-Time Designs'
version: '2.0'
doi: 10.32614/CRAN.package.MOFAT
abstract: Identifying important factors from a large number of potentially important
  factors in a highly nonlinear and computationally expensive black-box model is a
  difficult problem. Xiao, Joseph, and Ray (2022) <https://doi.org/10.1080/00401706.2022.2141897>
  proposed Maximum One-Factor-at-a-Time (MOFAT) designs for this purpose. A MOFAT
  design is a collection of one-factor-at-a-time (OFAT) designs constructed to achieve
  maximal screening capability. Song and Joseph (2026) <https://doi.org/10.48550/arXiv.2609.02087>
  extended the MOFAT framework to incorporate nominal and discrete numeric factors.
  The resulting designs are implemented in the mofatQQ function. Yu and Joseph (2026)
  <https://doi.org/10.48550/arXiv.2606.02533> proposed Space-Filling One-Factor-at-a-Time
  (SOFT) designs, which achieve optimal space-filling properties while retaining the
  screening capability. Therefore, SOFT designs are useful for both factor screening
  and surrogate modeling. The work on MOFAT is supported by a U.S. National Science
  Foundation (NSF) grant CMMI-1921646 <https://www.nsf.gov/awardsearch/show-award/?AWD_ID=1921646>,
  and the work on MOFATQQ and SOFT is supported by a U.S. NSF grant DMS-2310637.
authors:
- family-names: Song
  given-names: Difan
  email: dfsong96@gmail.com
- family-names: Yu
  given-names: Wei-Yang
  email: wyu322@gatech.edu
- family-names: Xiao
  given-names: Qian
  email: qian.xiao@sjtu.edu.cn
- family-names: Joseph
  given-names: V. Roshan
  email: roshan@gatech.edu
repository: https://cran.r-universe.dev
commit: 5c9aed30a05e0dc62609b8c8e558425e35ad0aa3
date-released: '2026-10-26'
contact:
- family-names: Song
  given-names: Difan
  email: dfsong96@gmail.com