I am looking for an R package which can run "Spatial Vector Autoregression". tandfonline.com/doi/full/10.1080/17421770701346689
According to Chen and Conley (2001), this is a "vector autoregression (VAR) whose coefficient matrix and shock covariance matrix are functions of economic distances between agents. The impact of other agents’ variables on the conditional mean of a given agent’s variable is a function of their economic distances from this agent. Similarly, covariances of VAR shocks are functions of distances between agents in the previous period, a property we refer to as being isotropic."
(Chen, X & Conley, T.G. (2001) A new semiparametric spatial model for panel time series, Journal of Econometrics, 105, 59–83)
Surprisingly, however, I could only see until "Spatial Autoregression" which is still not what I need for my purpose. May I get help finding the package for this please? Otherwise, may I know an official way to run this Spatial Vector Autoregression model using R programming?
I think I've found what you're looking for,
devtools::install_github("James-Thorson/VAST")
. VAST stands for "Vector-Autoregressive Spatio-Temporal." This package is a wrapper around a package that incorporates spatial modeling. Essentially it adds to it.You can see coding examples here. If you want to look at help, use
?VAST::VAST
and select one of the three hyperlinks at the bottom of the short description and details (make_settings
,fit_model
, andplot_results
).Please note:
When I installed this package to check out what it included, it came back with a conflict that the package
TMB
required an earlier version of theMatrix
package. I had not hadTMB
installed before installing this package. I had no issues installingTMB
independently (without a conflict with the version of theMatrix
package). However when I called the libraryVAST
it still gave me that error. When I called the libraryTMB
, then the libraryVAST
I didn't receive the warning and both libraries loaded.