Spatial Clustering with Hidden Markov Random Field using Empirical Bayes

Spatial clustering with hidden markov random field fitted via EM algorithm, details of which can be found in Yi Yang (2021) . It is not only computationally efficient and scalable to the sample size increment, but also is capable of choosing the smoothness parameter and the number of clusters as well.


Reference manual

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1.1 by Yi Yang, 13 days ago

Browse source code at

Authors: Yi Yang [aut, cre] , Xingjie Shi [aut] , Jin Liu [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, SingleCellExperiment, purrr, BiocSingular, SummarizedExperiment, scater, scran, S4Vectors

Depends on mclust, parallel, ggplot2, Matrix

Suggests knitr, rmarkdown

Linking to Rcpp, RcppArmadillo

See at CRAN