Other packages > Find by keyword >

BSPBSS  

Bayesian Spatial Blind Source Separation
View on CRAN: Click here


Download and install BSPBSS package within the R console
Install from CRAN:
install.packages("BSPBSS")

Install from Github:
library("remotes")
install_github("cran/BSPBSS")

Install by package version:
library("remotes")
install_version("BSPBSS", "1.0.6")



Attach the package and use:
library("BSPBSS")
Maintained by
Ben Wu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-02
Latest Update: 2022-11-25
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 et al. (2022+) "Bayesian Spatial Blind Source Separation via the Thresholded Gaussian Process" .
How to cite:
Ben Wu (2022). BSPBSS: Bayesian Spatial Blind Source Separation. R package version 1.0.6, https://cran.r-project.org/web/packages/BSPBSS. Accessed 07 Oct. 2026.
Previous versions and publish date:
1.0.2 (2022-09-02 09:50), 1.0.3 (2022-09-18 05:06), 1.0.4 (2022-10-01 16:40), 1.0.5 (2022-11-25 08:20), (2026-07-09 07:58)
Other packages that cited BSPBSS R package
View BSPBSS citation profile
Other R packages that BSPBSS depends, imports, suggests or enhances
Complete documentation for BSPBSS
Functions, R codes and Examples using the BSPBSS R package
Some associated functions: init_bspbss . levelplot2D . mcmc_bspbss . output_nii . pre_nii . sim_2Dimage . sum_mcmc_bspbss . 
Some associated R codes: ICA_imax.R . RcppExports.R . create.2D.image.R . init_bspbss.R . levelplot2D.R . mcmc_bspbss.R . output_nii.R . pre_nii.R . sim_2Dimage.R . sum_mcmc_bspbss.R .  Full BSPBSS package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA