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BSPBSS

Bayesian Spatial Blind Source Separation

v1.0.6 · Oct 16, 2025 · GPL (>= 3)

Description

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, B., Guo, Y., & Kang, J. (2024). Bayesian spatial blind source separation via the thresholded gaussian process. Journal of the American Statistical Association, 119(545), 422-433.

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NOTE 11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-oldrel-macos-arm64

for GNU extensions in Makefiles

GNU make is a SystemRequirements.
NOTE r-oldrel-macos-x86_64

for GNU extensions in Makefiles

GNU make is a SystemRequirements.
NOTE r-oldrel-windows-x86_64

for GNU extensions in Makefiles

GNU make is a SystemRequirements.

Dependency Network

Dependencies Reverse dependencies movMF rstiefel Rcpp ica glmnet gplots BayesGPfit svd neurobase oro.nifti gridExtra ggplot2 gtools BSPBSS

Version History

new 1.0.6 Mar 9, 2026