Package: AIUQ 0.5.5
AIUQ: Ab Initio Uncertainty Quantification
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>.
Authors:
AIUQ_0.5.5.tar.gz
AIUQ_0.5.5.zip(r-4.7)AIUQ_0.5.5.zip(r-4.6)AIUQ_0.5.5.zip(r-4.5)
AIUQ_0.5.5.tgz(r-4.6-any)AIUQ_0.5.5.tgz(r-4.5-any)
AIUQ_0.5.5.tar.gz(r-4.7-any)AIUQ_0.5.5.tar.gz(r-4.6-any)
AIUQ_0.5.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
AIUQ/json (API)
| # Install 'AIUQ' in R: |
| install.packages('AIUQ', repos = c('https://uncertaintyquantification.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:15ebb52b7c. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 188 | ||
| source / vignettes | OK | 397 | ||
| linux-release-x86_64 | OK | 201 | ||
| macos-release-arm64 | OK | 128 | ||
| macos-oldrel-arm64 | OK | 128 | ||
| windows-devel | OK | 162 | ||
| windows-release | OK | 134 | ||
| windows-oldrel | OK | 120 | ||
| wasm-release | OK | 108 |
Exports:aniso_SAManiso_simulationanisotropic_bm_particle_intensityanisotropic_fbm_ou_particle_intensityanisotropic_fbm_particle_intensityanisotropic_log_likanisotropic_log_lik_gradanisotropic_numerical_msdanisotropic_ou_particle_intensitybm_particle_intensitycart2polarcorr_fBMfbm_ou_particle_intensityfbm_particle_intensityFFT2Dfftshiftfill_intensityget_dqtget_est_paramget_est_parameters_MSD_SAM_intervalget_est_parameters_MSD_SAM_interval_anisotropicGet_Gp_Gpp_GSERget_grad_transget_initial_paramget_isfget_MSDget_MSD_with_gradget_true_param_aniso_simget_true_param_simintensity_format_transforml2_estABl2_fixedABlog_liklog_lik_gradmodeled_dqtmodeled_isfnumerical_msdou_particle_intensityparam_uncertaintyparam_uncertainty_anisotropicplot_intensityplot_MSDplot_trajSAMSAM_Dqtshow.aniso_samshow.aniso_simulationshow.samshow.simulationsimulationtheta_est_l2_dqt_estABtheta_est_l2_dqt_fixedAB
Dependencies:abindfftwfftwtoolsgeometrylinproglpSolvemagicmisc3dnloptrplot3DR6RcppRcppEigenRcppProgressRobustGaSPSuperGauss
