R: Semiparametric Spatial Filtering with Eigenvectors in (Generalized) Linear Models

# Semiparametric Spatial Filtering with Eigenvectors in (Generalized) Linear Models

## Documentation for package ‘spfilteR’ version 2.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

fakedata | Synthetic Dataset
fakedataset | Synthetic Dataset
getEVs | Eigenfunction Decomposition of a (Transformed) Spatial Connectivity Matrix
glmFilter | Unsupervised Spatial Filtering with Eigenvectors in Generalized Linear Regression Models
lmFilter | Unsupervised Spatial Filtering with Eigenvectors in Linear Regression Models
MI.decomp | Decomposition of the Moran Coefficient
MI.ev | Moran Coefficients of Eigenvectors
MI.local | Local Moran Coefficient
MI.resid | Moran Test for Residual Spatial Autocorrelation
MI.sf | Moran Coefficient of the Spatial Filter
MI.vec | Moran Test for Spatial Autocorrelation
partialR2 | Coefficient of Partial Determination
summary.spfilter | Unsupervised Spatial Filtering with Eigenvectors in Linear Regression Models
vif.ev | Variance Inflation Factor of Eigenvectors
vp | Variance Partitioning with Moran Spectral Randomization
W | Synthetic Dataset