ergm.ego: Fit, Simulate and Diagnose Exponential-Family Random Graph Models to Egocentrically Sampled Network Data
Utilities for managing egocentrically sampled network data and a wrapper around the 'ergm' package to facilitate ERGM inference and simulation from such data. See Krivitsky and Morris (2017) doi:10.1214/16-AOAS1010.
To facilitate open development of the package while giving the core developers an opportunity to publish on their developments before opening them up for general use, this project comprises two repositories:
- A public repository
statnet/ergm.ego - A private repository
statnet/ergm.ego-private
The intention is that all developments in statnet/ergm.ego-private will eventually make their way into statnet/ergm.ego and onto CRAN.
Developers and Contributing Users to the Statnet Project should read https://statnet.org/private/ for information about the relationship between the public and the private repository and the workflows involved.
R-Universe builds a set of binaries after every commit to the main branch of the repository. We strongly encourage testing against them before filing a bug report, as they may contain fixes that have not yet been sent to CRAN. To obtain the binaries from r-universe, navigate to the package page at https://statnet.r-universe.dev/ergm.ego .
You may also want to install the corresponding latest binaries for packages on which ergm.ego depends, in particular rle, statnet.common, network, ergm, and egor.