sphet: Estimation of Spatial Autoregressive Models with and without Heteroskedastic Innovations

Functions for fitting Cliff-Ord-type spatial autoregressive models with and without heteroskedastic innovations using Generalized Method of Moments estimation are provided. Some support is available for fitting spatial HAC models, and for fitting with non-spatial endogeneous variables using instrumental variables.

AuthorGianfranco Piras <gpiras@mac.com>
Date of publication2016-07-26 01:58:55
MaintainerGianfranco Piras <gpiras@mac.com>
LicenseGPL-2
Version1.6-2

View on R-Forge

Functions

arg Man page
arg1 Man page
bisq Man page
circular Man page
coldis Man page
distance Man page
distance.matrix Man page
dist.braycur Man page
dist.canberra Man page
dist.chebyshev Man page
dist.euclidean Man page
dist.gcircle Man page
epan Man page
fierror Man page
fifour Man page
fistslserror Man page
fistslsfast Man page
Ggfastfast Man page
gstslshet Man page
impacts.gstsls Man page
kernel Man page
knn10columbus Man page
listw2dgCMatrix Man page
Omega Man page
Omegabis Man page
parzen Man page
print.sphet Man page
print.summary.sphet Man page
qs Man page
read.gwt2dist Man page
rectangular Man page
sphet Man page
sphet-package Man page
spreg Man page
stslshac Man page
summary.sphet Man page
sumres Man page
th Man page
triangular Man page
tsls Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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