|
The function reads "GWT" files (i.e. generated using distance. It will read also other more general formats (as for example .txt files).
● Data Source:
CranContrib
● Keywords: spatial
● Alias: read.gwt2dist
●
0 images
|
utilities
(Package: sphet) :
Functions used by gstslshet.
-
arg and arg1 are the objective functions of the non-linear estimators in the GMM procedure.
● Data Source:
CranContrib
● Keywords: models
● Alias: Ggfastfast, fierror, fifour, fistslserror, fistslsfast
●
0 images
|
listw2dgCMatrix
(Package: sphet) :
Interface between Matrix class objects and weights list
Interface between Matrix class objects and weights list
● Data Source:
CranContrib
● Keywords: spatial
● Alias: listw2dgCMatrix
●
0 images
|
kernel
(Package: sphet) :
Spatial two stages least square with HAC standard errors
Main functions to calculate the kernels in stslshac
● Data Source:
CranContrib
● Keywords: models
● Alias: bisq, epan, kernel, parzen, qs, th, triangular
●
0 images
|
print.sphet
(Package: sphet) :
print method for class sphet
Method used to print objects of class 'summary.sphet' and 'sphet'
● Data Source:
CranContrib
● Keywords:
● Alias: print.sphet, print.summary.sphet
●
0 images
|
distance
(Package: sphet) :
Writes distance matrices
Reads points coordinates and generates objects of class distance.matrix
● Data Source:
CranContrib
● Keywords: spatial
● Alias: distance, distance.matrix
●
0 images
|
spreg
(Package: sphet) :
GM estimation of a Cliff-Ord type model with Heteroskedastic Innovations
Multi step GM/IV estimation of a linear Cliff and Ord -type of model of the form:
● Data Source:
CranContrib
● Keywords: models
● Alias: spreg
●
0 images
|
dist_functions
(Package: sphet) :
Distance measures available in distance
The great circle distance is calculated by the function rdist.earth in library fields.
● Data Source:
CranContrib
● Keywords: models
● Alias: dist.braycur, dist.canberra, dist.chebyshev, dist.euclidean, dist.gcircle
●
0 images
|
stslshac
(Package: sphet) :
Spatial two stages least square with HAC standard errors
Non-parametric heteroskedasticity and autocorrelation consistent (HAC) estimator of the variance-covariance (VC) for a vector of sample moments within a spatial context. The disturbance vector is generated as follows:
● Data Source:
CranContrib
● Keywords: models
● Alias: stslshac, tsls
●
0 images
|
gstslshet
(Package: sphet) :
GM estimation of a Cliff-Ord type model with Heteroskedastic Innovations
Multi step GM/IV estimation of a linear Cliff and Ord -type of model of the form:
● Data Source:
CranContrib
● Keywords: models
● Alias: gstslshet, impacts.gstsls
●
0 images
|
providing 
.