Package: BSPBSS
Title: Bayesian Spatial Blind Source Separation
Version: 1.0.6
Authors@R: c( person("Ben", "Wu", 
              email = "wuben@ruc.edu.cn", 
              role = c("aut", "cre")),
              person("Ying", "Guo",
              email = "yguo2@emory.edu",
              role = "aut"),
              person("Jian", "Kang",
              email = "jiankang@umich.edu",
              role = "aut") )
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.
Depends: R (>= 3.4.0), movMF
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.2.1
LinkingTo: Rcpp, RcppArmadillo
Imports: rstiefel, Rcpp, ica, glmnet, gplots, BayesGPfit, svd,
        neurobase, oro.nifti, gridExtra, ggplot2, gtools
SystemRequirements: GNU make
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-10-24 06:39:35 UTC; root
Author: Ben Wu [aut, cre], Ying Guo [aut], Jian Kang [aut]
Maintainer: Ben Wu <wuben@ruc.edu.cn>
Config/pak/sysreqs: make
Repository: https://cran.r-universe.dev
Date/Publication: 2025-10-16 13:02:26 UTC
RemoteUrl: https://github.com/cran/BSPBSS
RemoteRef: HEAD
RemoteSha: e87a842645ae994bf2ba2d0fb5fa5edf4472cfd0