Moran Eigenvector-Based Scalable Spatial Additive Mixed Modeling


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Documentation for package ‘spmoran’ version 0.2.0-2

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besf Spatial regression with RE-ESF for very large samples
besf_vc Spatially and non-spatially varying coefficient (SNVC) modeling for very large samples
esf Spatial regression with eigenvector spatial filtering
lsem Low rank spatial error model (LSEM) estimation
lslm Low rank spatial lag model (LSLM) estimation
meigen Extraction of Moran's eigenvectors
meigen0 Nystrom extension of Moran eigenvectors
meigen_f Fast approximation of Moran eigenvectors
plot_n Plot non-spatially varying coefficients (NVCs)
plot_qr Plot quantile regression coefficients estimated from SF-UQR
plot_s Mapping spatially (and non-spatially) varying coefficients (SVCs or SNVC)
predict0 Spatial prediction using eigenvector spatial filtering (ESF) or random effects ESF
predict0_vc Prediction of explained variables and spatially varying coefficients
resf Spatial regression with random effects eigenvector spatial filtering (RE-ESF)
resf_qr Spatial filter unconditional quantile regression
resf_vc Spatially and non-spatially varying coefficient (SNVC) modeling
weigen Extract eigenvectors from a spatial weight matrix