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SC.MEB  

Spatial Clustering with Hidden Markov Random Field using Empirical Bayes
View on CRAN: Click here


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

Install from Github:
library("remotes")
install_github("cran/SC.MEB")

Install by package version:
library("remotes")
install_version("SC.MEB", "1.1")



Attach the package and use:
library("SC.MEB")
Maintained by
Yi Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-16
Latest Update: 2021-10-08
Description:
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.
How to cite:
Yi Yang (2021). SC.MEB: Spatial Clustering with Hidden Markov Random Field using Empirical Bayes. R package version 1.1, https://cran.r-project.org/web/packages/SC.MEB. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0 (2021-07-16 10:50)
Other packages that cited SC.MEB R package
View SC.MEB citation profile
Other R packages that SC.MEB depends, imports, suggests or enhances
Complete documentation for SC.MEB
Functions, R codes and Examples using the SC.MEB R package
Some associated functions: ClusterPlot . ICMEM . PC . SC.MEB . find_neighbors2 . getneighborhood_fast . parafun . sce . selectK . selectKPlot . spatialPreprocess . 
Some associated R codes: RcppExports.R . SC-MEB.R . data.R . find_neighbours.R . spatialProcess.R .  Full SC.MEB package functions and examples
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