Spatial Mixture Models for Clustering R package SpatMix version 0.1.0 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>. Software Depends: R (>= 4.1.0) Imports: MASS, matrixStats, Rcpp, splines2, stats, withr LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0) Hanzhang Lu <hanzhang.lu@ubc.ca> Comprehensive R Archive Network (CRAN) Hanzhang Lu [aut, cre], Jeffrey L. Andrews [aut, ths] MIT + file LICENSE (https://CRAN.R-project.org/package=SpatMix/LICENSE) 2026-09-09 application/tgz https://CRAN.R-project.org/package=SpatMix doi:10.32614/CRAN.package.SpatMix