Package: MOFAT
Title: Maximum One-Factor-at-a-Time Designs
Version: 2.0
Authors@R: c(
    person(given = "Difan",
           family = "Song",
           role = c("aut", "cre"),
           email = "dfsong96@gmail.com"),
    person(given = "Wei-Yang",
           family = "Yu",
           role = c("aut"),
           email = "wyu322@gatech.edu"),
    person(given = "Qian",
           family = "Xiao",
           role = c("aut"),
           email = "qian.xiao@sjtu.edu.cn"),
    person(given = "V. Roshan",
           family = "Joseph",
           role = c("aut"),
           email = "roshan@gatech.edu")
    )
Imports: gtools, Rcpp, SFDesign, scales, SLHD, spacefillr, stats,
        MaxPro, RcppHungarian, withr
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Description: 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)
        <doi: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) <doi: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) <doi: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.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: yes
SystemRequirements: On Linux, optional NVIDIA CUDA Toolkit (12.x or
        13.x) and a supported host compiler; Metal is optional on macOS
Config/roxygen2/version: 8.1.1
Packaged: 2026-10-26 23:30:43 UTC; root
Author: Difan Song [aut, cre], Wei-Yang Yu [aut], Qian Xiao [aut], V.
        Roshan Joseph [aut]
Maintainer: Difan Song <dfsong96@gmail.com>
Config/pak/sysreqs: nvidia-cuda-dev
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-26 13:10:20 UTC
RemoteUrl: https://github.com/cran/MOFAT
RemoteRef: HEAD
RemoteSha: 5c9aed30a05e0dc62609b8c8e558425e35ad0aa3