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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>.
Version: | 0.5.3 |
Imports: | fftwtools (≥ 0.9.11), SuperGauss (≥ 2.0.3), methods, plot3D (≥ 1.4) |
Suggests: | knitr, rmarkdown |
Published: | 2024-07-02 |
DOI: | 10.32614/CRAN.package.AIUQ |
Author: | Yue He [aut], Xubo Liu [aut], Mengyang Gu [aut, cre] |
Maintainer: | Mengyang Gu <mengyang at pstat.ucsb.edu> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
Materials: | ChangeLog |
CRAN checks: | AIUQ results |
Reference manual: | AIUQ.pdf |
Vignettes: |
AIUQ tutorial |
Package source: | AIUQ_0.5.3.tar.gz |
Windows binaries: | r-devel: AIUQ_0.5.3.zip, r-release: AIUQ_0.5.3.zip, r-oldrel: AIUQ_0.5.3.zip |
macOS binaries: | r-release (arm64): AIUQ_0.5.3.tgz, r-oldrel (arm64): AIUQ_0.5.3.tgz, r-release (x86_64): AIUQ_0.5.3.tgz, r-oldrel (x86_64): AIUQ_0.5.3.tgz |
Old sources: | AIUQ archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.