NEWS

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netpanel 0.0.1 (2026-07-29)

• 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).