Package: AIUQ
Type: Package
Title: Ab Initio Uncertainty Quantification
Version: 0.5.5
Authors@R: 
    c(person("Yue", "He", role = "aut"),
	  person("Xubo", "Liu", role = "aut"),
          person("Tong", "Lin", role = "aut"),
	  person("Mengyang", "Gu", role=c("aut","cre"), email = "mengyang@pstat.ucsb.edu"))
Author: Yue He [aut], Xubo Liu [aut], Tong Lin [aut], Mengyang Gu [aut,
        cre]
Maintainer: Mengyang Gu <mengyang@pstat.ucsb.edu>
Description: Uncertainty quantification and inverse estimation by
        probabilistic generative models from the beginning of the data
        analysis. An example is a Fourier basis method for inverse
        estimation in scattering analysis of microscopy videos. It does
        not require specifying a certain range of Fourier bases and it
        substantially reduces computational cost via the generalized
        Schur algorithm. See the reference: Mengyang Gu, Yue He, Xubo
        Liu and Yimin Luo (2023), <doi:10.48550/arXiv.2309.02468>, and
        Tong Lin, Jinseok Lee, Matt Helgeson, Megan T Valentine, Yimin
        Luo, Mengyang Gu (2026), <doi:10.48550/arXiv.2605.29424>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.3.1
Imports: fftwtools (>= 0.9.11), SuperGauss (>= 2.0.3), methods, plot3D
        (>= 1.4), RobustGaSP, geometry
NeedsCompilation: no
Packaged: 2026-06-10 12:09:32 UTC; root
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Config/pak/sysreqs: cmake libfftw3-dev
Repository: https://uncertaintyquantification.r-universe.dev
Date/Publication: 2026-06-10 06:50:07 UTC
RemoteUrl: https://github.com/cran/AIUQ
RemoteRef: HEAD
RemoteSha: 15ebb52b7c8b01e5bc671a1814cabe9ea5daa55a