ntspreg: Estimates a Spatial AutoRegressive (SAR) lag model.
In judechays/STADL: Tools for analyzing country-year time-series-cross-sectional data with spatial and temporal dependence
ntspreg R Documentation
Estimates a Spatial AutoRegressive (SAR) lag model.
Description
ntspreg estimates a Spatial AutoRegressive (SAR) model (spatialreg::lagsarlm)
using the nearest neighbor spatial weights matrix you previously created
and a linear regression model.
Usage
ntspreg(lmobj, wm)
Arguments
lmobj
An object created by the lm function.
wm
a list, which includes the spatial weights matrix, created by the make_ntspmat.
Value
The output will be SAR model estimated.
Examples
## Not run:
sar_reex <- ntspreg(ols,wm)
## End(Not run)
judechays/STADL documentation built on May 12, 2022, 10:50 p.m.
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| ntspreg | R Documentation |
Estimates a Spatial AutoRegressive (SAR) lag model.
Description
ntspreg estimates a Spatial AutoRegressive (SAR) model (spatialreg::lagsarlm)
using the nearest neighbor spatial weights matrix you previously created
and a linear regression model.
Usage
ntspreg(lmobj, wm)
Arguments
lmobj |
An object created by the |
wm |
a list, which includes the spatial weights matrix, created by the |
Value
The output will be SAR model estimated.
Examples
## Not run: sar_reex <- ntspreg(ols,wm) ## End(Not run)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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