Closed souzacharles closed 1 year ago
Hi. Please make sure you understand that the way tnam
estimates the model is through maximum pseudolikelihood (MPLE), which is likely biased to some extent (depending on the application). If there are no temporal dependencies, consider the new BANAM
package (with Bayesian estimation). If you require temporal dependence, consider the M-STAR model (the multiparametric spatio-temporal autoregressive model). A Stata implementation is available here, but maybe R implementations exist, too. I suppose some people write this up in BUGS or Stan to be flexible.
If you still want to use tnam
, check out the help pages for tnam
and tnamdata
for some examples.
Hello, I intend to apply the tnam package in an academic research. More precisely, in a study on international trade networks (comtrade data). Would you like to know how the database should be built? For example data.frame or list? Do you have any models? Thanks.