Package: AIUQ 0.5.3
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>.
Authors:
AIUQ_0.5.3.tar.gz
AIUQ_0.5.3.zip(r-4.5)AIUQ_0.5.3.zip(r-4.4)AIUQ_0.5.3.zip(r-4.3)
AIUQ_0.5.3.tgz(r-4.4-any)AIUQ_0.5.3.tgz(r-4.3-any)
AIUQ_0.5.3.tar.gz(r-4.5-noble)AIUQ_0.5.3.tar.gz(r-4.4-noble)
AIUQ_0.5.3.tgz(r-4.4-emscripten)AIUQ_0.5.3.tgz(r-4.3-emscripten)
AIUQ.pdf |AIUQ.html✨
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 5 months agofrom:762b419605. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
| R-4.4-win | OK | Oct 31 2024 |
| R-4.4-mac | OK | Oct 31 2024 |
| R-4.3-win | OK | Oct 31 2024 |
| R-4.3-mac | OK | Oct 31 2024 |
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_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:fftwfftwtoolsmisc3dplot3DR6RcppRcppEigenSuperGauss
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Scattering analysis of microscopy for anisotropic processes | aniso_SAM |
| Anisotropic SAM class | aniso_SAM-class |
| Simulate anisotropic 2D particle movement | aniso_simulation |
| Anisotropic simulation class | aniso_simulation-class |
| Compute observed dynamic image structure function | get_dqt |
| Compute empirical intermediate scattering function | get_isf |
| Compute modeled dynamic image structure function | modeled_dqt |
| Compute modeled intermediate scattering function | modeled_isf |
| Plot 2D intensity | plot_intensity |
| Plot estimated MSD with uncertainty from SAM class | plot_MSD |
| Plot 2D particle trajectory | plot_traj |
| Scattering analysis of microscopy | SAM |
| SAM class | SAM-class |
| Show scattering analysis of microscopy for anisotropic processes (aniso_SAM) object | show.aniso_sam |
| Show anisotropic simulation object | show.aniso_simulation |
| Show scattering analysis of microscopy (SAM) object | show.sam |
| Show simulation object | show.simulation |
| Simulate 2D particle movement | simulation |
| Simulation class | simulation-class |
