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.github.io/private/ for information about the relationship between the public and the private repository and the workflows involved.
A set of binaries is built after every commit to 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. They can be downloaded through the following links:
You will need to extract the MacOS .tgz or the Windows .zip file from the outer .zip file before installing. These binaries are usually built under the latest version of R and their operating system and may not work under other versions.
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.