Package: AIUQ
Type: Package
Title: Ab Initio Uncertainty Quantification
Version: 0.5.2
Authors@R: 
    c(person("Yue", "He", role = "aut"),
	  person("Xubo", "Liu", role = "aut"),
	  person("Mengyang", "Gu", role=c("aut","cre"), email = "mengyang@pstat.ucsb.edu"))
Author: Yue He [aut],
  Xubo Liu [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>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: fftwtools (>= 0.9.11), SuperGauss (>= 2.0.3), methods, plot3D
        (>= 1.4)
NeedsCompilation: no
Packaged: 2024-05-04 17:58:14 UTC; mengyanggu
Repository: CRAN
Date/Publication: 2024-05-04 19:40:02 UTC
Built: R 4.2.3; ; 2024-05-04 21:46:11 UTC; unix
