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SpatMix  

Spatial Mixture Models for Clustering
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SpatMix", "0.1.0")



Attach the package and use:
library("SpatMix")
Maintained by
Hanzhang Lu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-09
Latest Update: 2026-09-09
Description:
Fits spatial mixture models, including spatial Gaussian mixtures and mixtures of spatial factor analyzers, to complete or incomplete data. Spatial decay can be represented by monotone I-splines or a normalized sigmoid. Missing entries are handled using a built-in partial expectation-maximization procedure for matrix-variate data. The spatial covariance and spatial factor analyzer models are described in Lu and colleagues (2026a) "Spatial Covariance Constraints for Gaussian Mixture Models" <doi:10.48550/arXiv.2601.07979> and Lu and colleagues (2026b) "Mixtures of spatial factor analyzers for tensor-variate data" <doi:10.48550/arXiv.2607.07887>.
How to cite:
Hanzhang Lu (2026). SpatMix: Spatial Mixture Models for Clustering. R package version 0.1.0, https://cran.r-project.org/web/packages/SpatMix. Accessed 04 Oct. 2026.
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