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spmoran (version 0.1.6)
Moran's Eigenvector-Based Spatial Regression Models
Description
Functions for estimating Moran's eigenvector-based spatial regression models. For details see Murakami (2018)
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Install
install.packages('spmoran')
Monthly Downloads
415
Version
0.1.6
License
GPL (>= 2)
Maintainer
Daisuke Murakami
Last Published
October 6th, 2018
Functions in spmoran (0.1.6)
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resf_qr
Spatial filter unconditional quantile regression
predict0
Spatial prediction using eigenvector spatial filtering (ESF) or random effects ESF
weigen
Extraction of eigenvectors from a spatial weight matrix
resf_vc
Spatially varying coefficient modeling with automatic coefficient selection
esf
Spatial regression with eigenvector spatial filtering
predict0_vc
Prediction of explained variables and spatially varying coefficients
meigen0
Nystrom extension of Moran's eigenvectors
meigen_f
Fast approximation of Moran's eigenvectors
meigen
Extraction of Moran's eigenvectors
resf
Spatial regression with random effects eigenvector spatial filtering
plot_qr
Plot quantile regression coefficients estimated from SF-UQR
lslm
Low rank spatial lag model (LSLM) estimation
lsem
Low rank spatial error model (LSEM) estimation