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html contents.html
Spatial econometrics functions library
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-------- general spatial model estimatio
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m contents.m
% functions to calculated log-determinants
%
% lndet_d : An example of using lndetfull, lndetmc, lndetint
% lndet_d2 : An example of using lndetfull, lndetmc, lndetint
% lnd
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html contents.html
Spatial econometrics functions library
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-------- log determinant functions -----
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m contents.m
% matrix exponential model estimation functions
%
% mess : maximum likelihood MESS estimates
% mess_d : An example of using mess() on a small dataset
% mess_d2 : An e
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html contents.html
Spatial econometrics functions library
[Return to Master Index]
-------- matrix exponential model estima
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m contents.m
% spatial weights functions
%
% distance : Computes the list of pairwise distances for a given set of locations
% find_neighbors : finds observations containing m nearest neighbors, slow but
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html contents.html
Spatial econometrics functions library
[Return to Master Index]
-------- spatial weights functions
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m contents.m
% first-order spatial autoregressive model estimation functions
%
% compare_weights : An example of model comparison using far_g
% f2_far : evaluate the log-likelihood for ML rho,sigma valu
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html contents.html
Spatial econometrics functions library
[Return to Master Index]
-------- first-order spatial autoregress
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m contents.m
% Geographically weighted regression estimation functions
%
% bgwr : compute Bayesian geographically weighted regression
% bgwr_d : An example of using bgwr()
% bgwr_