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AIUQ  

Ab Initio Uncertainty Quantification
View on CRAN: Click here


Download and install AIUQ package within the R console
Install from CRAN:
install.packages("AIUQ")

Install from Github:
library("remotes")
install_github("cran/AIUQ")

Install by package version:
library("remotes")
install_version("AIUQ", "0.5.3")



Attach the package and use:
library("AIUQ")
Maintained by
Mengyang Gu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-14
Latest Update: 2024-02-12
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), .
How to cite:
Mengyang Gu (2023). AIUQ: Ab Initio Uncertainty Quantification. R package version 0.5.3, https://cran.r-project.org/web/packages/AIUQ. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.5.0 (2023-11-14 18:50), 0.5.1 (2024-02-12 20:50), 0.5.2 (2024-05-04 21:40)
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