Spatial Models with heteroskedastic innovations


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Documentation for package ‘sphet’ version 0.1-22

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sphet-package Estimation of spatial models with heteroskedastic innovations
arg GM estimation of a Cliff-Ord type model with Heteroskedastic Innovations
arg1 GM estimation of a Cliff-Ord type model with Heteroskedastic Innovations
bisq Spatial two stages least square with HAC standard errors
coldis Object of class distance for Columbus dataset
distance Writes distance matrices
distance.matrix Writes distance matrices
epan Spatial two stages least square with HAC standard errors
fierror GM estimation of a Cliff-Ord type model with Heteroskedastic Innovations
fifour GM estimation of a Cliff-Ord type model with Heteroskedastic Innovations
fistslserror GM estimation of a Cliff-Ord type model with Heteroskedastic Innovations
fistslsfast GM estimation of a Cliff-Ord type model with Heteroskedastic Innovations
Ggfastfast GM estimation of a Cliff-Ord type model with Heteroskedastic Innovations
gstslshet GM estimation of a Cliff-Ord type model with Heteroskedastic Innovations
kernel Spatial two stages least square with HAC standard errors
knn10columbus Object of class distance for Columbus dataset
listw2dgCMatrix Interface between Matrix class objects and weights list
Omega GM estimation of a Cliff-Ord type model with Heteroskedastic Innovations
Omegabis GM estimation of a Cliff-Ord type model with Heteroskedastic Innovations
parzen Spatial two stages least square with HAC standard errors
print.sphet print method for class sphet
print.summary.sphet print method for class sphet
qs Spatial two stages least square with HAC standard errors
read.gwt2dist Read distance ojbects
sphet Estimation of spatial models with heteroskedastic innovations
stslshac Spatial two stages least square with HAC standard errors
summary.sphet print method for class sphet
sumres print method for class sphet
th Spatial two stages least square with HAC standard errors
triangular Spatial two stages least square with HAC standard errors
tsls Spatial two stages least square with HAC standard errors