Package: BSPBSS 1.0.5
Ben Wu
BSPBSS: Bayesian Spatial Blind Source Separation
Gibbs sampling for Bayesian spatial blind source separation (BSP-BSS). BSP-BSS is designed for spatially dependent signals in high dimensional and large-scale data, such as neuroimaging. The method assumes the expectation of the observed images as a linear mixture of multiple sparse and piece-wise smooth latent source signals, and constructs a Bayesian nonparametric prior by thresholding Gaussian processes. Details can be found in our paper: Wu et al. (2022+) "Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process" <doi:10.1080/01621459.2022.2123336>.
Authors:
BSPBSS_1.0.5.tar.gz
BSPBSS_1.0.5.tar.gz(r-4.5-noble)BSPBSS_1.0.5.tar.gz(r-4.4-noble)
BSPBSS_1.0.5.tgz(r-4.4-emscripten)BSPBSS_1.0.5.tgz(r-4.3-emscripten)
BSPBSS.pdf |BSPBSS.html✨
BSPBSS/json (API)
| # Install 'BSPBSS' in R: |
| install.packages('BSPBSS', repos = c('https://cran.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 2 years agofrom:fe54c82aea. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 30 2024 |
| R-4.5-linux-x86_64 | NOTE | Dec 30 2024 |
Exports:init_bspbsslevelplot2Dmcmc_bspbssoutput_niipre_niisim_2Dimagesum_mcmc_bspbss
Dependencies:abindBayesGPfitbitopscaToolscliclueclustercodetoolscolorspacefansifarverforeachggplot2glmnetgluegplotsgridExtragtablegtoolsicaisobanditeratorsKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmovMFmunsellneurobasenlmeoro.niftipillarpkgconfigR.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppArmadilloRcppEigenrlangRNiftirstiefelscalesshapeskmeansslamsurvivalsvdtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Initial values | init_bspbss |
| levelplot for 2D images. | levelplot2D |
| MCMC algorithm for Bayesian spatial blind source separation with the thresholded Gaussian Process prior. | mcmc_bspbss |
| Write a NIfTI file. | output_nii |
| Transforms NIfTI to matrix | pre_nii |
| Simulate image data using ICA | sim_2Dimage |
| Summarization of the MCMC result. | sum_mcmc_bspbss |
