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spmoran (version 0.1.3)
Moran's Eigenvector-Based Spatial Regression Models
Description
Functions for estimating fixed and random effects eigenvector spatial filtering models. For details see Murakami (2018)
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Install
install.packages('spmoran')
Monthly Downloads
415
Version
0.1.3
License
GPL (>= 2)
Maintainer
Daisuke Murakami
Last Published
April 10th, 2018
Functions in spmoran (0.1.3)
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esf
Spatial regression with eigenvector spatial filtering
meigen0
Nystrom extension of Moran's eigenvectors
resf_vc
Spatially varying coefficient modeling with automatic coefficient selection
plot_qr
Plot quantile regression coefficients estimated by SF-UQR
predict0
Spatial prediction using eigenvector spatial filtering (ESF) or random effects ESF
meigen_f
Fast approximation of Moran's eigenvectors
predict0_vc
Prediction of explained variables and spatially varying coefficients
meigen
Extraction of Moran's eigenvectors
resf_qr
Spatial filter unconditional quantile regression
resf
Spatial regression with random effects eigenvector spatial filtering