netpanel 0.0.1 (2026-07-09)
- This is the first release of the
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!!
- The
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.
- The
netimpacts() function computes the direct,
indirect, and total impacts for each estimated effect included in the
pnam S3 object.
- The following methods are included for the S3
pnam
object class: (1) logLik(), (2) coef(), (3)
vcov(), (4) residuals(), and (5)
fitted().
- The following data objects are included: (1)
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).