Package: BSPBSS 1.0.5

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:Ben Wu [aut, cre], Ying Guo [aut], Jian Kang [aut]

BSPBSS_1.0.5.tar.gz
BSPBSS_1.0.5.zip(r-4.5)BSPBSS_1.0.5.zip(r-4.4)BSPBSS_1.0.5.zip(r-4.3)
BSPBSS_1.0.5.tgz(r-4.5-x86_64)BSPBSS_1.0.5.tgz(r-4.5-arm64)BSPBSS_1.0.5.tgz(r-4.4-x86_64)BSPBSS_1.0.5.tgz(r-4.4-arm64)BSPBSS_1.0.5.tgz(r-4.3-x86_64)BSPBSS_1.0.5.tgz(r-4.3-arm64)
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://benwu233.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/benwu233/bspbss/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

4.30 score 4 stars 5 scripts 326 downloads 7 exports 60 dependencies

Last updated 2 years agofrom:da762898b9. Checks:1 OK, 11 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-win-x86_64NOTEMar 09 2025
R-4.5-mac-x86_64NOTEMar 09 2025
R-4.5-mac-aarch64NOTEMar 09 2025
R-4.5-linux-x86_64NOTEMar 09 2025
R-4.4-win-x86_64NOTEMar 09 2025
R-4.4-mac-x86_64NOTEMar 09 2025
R-4.4-mac-aarch64NOTEMar 09 2025
R-4.4-linux-x86_64NOTEMar 09 2025
R-4.3-win-x86_64NOTEMar 09 2025
R-4.3-mac-x86_64NOTEMar 09 2025
R-4.3-mac-aarch64NOTEMar 09 2025

Exports:init_bspbsslevelplot2Dmcmc_bspbssoutput_niipre_niisim_2Dimagesum_mcmc_bspbss

Dependencies:abindBayesGPfitbitopscaToolscliclueclustercodetoolscolorspacefansifarverforeachggplot2glmnetgluegplotsgridExtragtablegtoolsicaisobanditeratorsKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmovMFmunsellneurobasenlmeoro.niftipillarpkgconfigR.methodsS3R.ooR.utilsR6RColorBrewerRcppRcppArmadilloRcppEigenrlangRNiftirstiefelscalesshapeskmeansslamsurvivalsvdtibbleutf8vctrsviridisLitewithr

BSPBSS-vignette

Rendered fromBSPBSS-vignette.Rmdusingknitr::rmarkdownon Mar 09 2025.

Last update: 2022-09-10
Started: 2022-08-26