Changes in version 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).