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netpanel R package. As
a suggestion, please see the netpanel help package (i.e.,
help("netpanel")) to get started. Additionally, any coding
issues, suggestions, or errors can be made by opening an issue here:
https://github.com/kevinCarson/netpanel/issues. Happy
netpaneling!!mlpnam() function includes maximum likelihood
estimation routines to fit panel network autocorrelation models with one
or more time-varying social adjacency matrices. The following types of
models can be estimated: fixed effects, random effects, and dynamic
models that includes outcome and network time lags. The function returns
a S3 object of class pnam.netimpacts() function computes the direct,
indirect, and total impacts for each estimated effect included in the
pnam S3 object.pnam
object class: (1) logLik(), (2) coef(), (3)
vcov(), (4) residuals(), and (5)
fitted().net1, (2)
net2, (3) net3, and (4)
simulated.data. Please see their respective help pages for
information on the data objects (e.g.,
?netpanel::net1).These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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