The ergm package supports the statistical analysis and simulation of network data. It anchors the statnet suite of packages for network analysis in R introduced in a special issue in Journal of Statistical Software in 2008. This article provides an overview of the new functionality in the 2021 release of ergm version 4. These include more flexible handling of nodal covariates, term operators that extend and simplify model specification, new models for networks with valued edges, improved handling of constraints on the sample space of networks, and estimation with missing edge data. We also identify the new packages in the statnet suite that extend ergm's functionality to other network data types and structural features and the robust set of...
Recent advances in computational methods for intractable models have made network data increasingly ...
Exponential-family random graph models are probabilistic network models that are parametrized by suf...
Exponential-family random graph models (ERGMs) are probabilistic network models that are parametrize...
We describe some of the capabilities of the ergm package and the statistical theory underlying it. ...
We describe some of the capabilities of the ergm package and the statistical theory underlying it. T...
Exponential-family random graph models (ERGMs) represent the processes that govern the formation of ...
statnet is a suite of software packages for statistical network analysis. The packages implement rec...
Exponential-family random graph models (ERGMs) represent a powerful and flexible class of models for...
We describe some of the capabilities of the ergm package and the statistical theory underlying it. ...
The ergm package supports the statistical analysis and simulation of network data. It anchors the st...
We describe some of the capabilities of the ergm package and the statistical theory underlying it. T...
Exponential-family random graph models are probabilistic network models that are parametrized by suf...
Exponential-family random graph models are probabilistic network models that are parametrized by suf...
Exponential-family random graph models are probabilistic network models that are parametrized by suf...
Exponential-family random graph models are probabilistic network models that are parametrized by suf...
Recent advances in computational methods for intractable models have made network data increasingly ...
Exponential-family random graph models are probabilistic network models that are parametrized by suf...
Exponential-family random graph models (ERGMs) are probabilistic network models that are parametrize...
We describe some of the capabilities of the ergm package and the statistical theory underlying it. ...
We describe some of the capabilities of the ergm package and the statistical theory underlying it. T...
Exponential-family random graph models (ERGMs) represent the processes that govern the formation of ...
statnet is a suite of software packages for statistical network analysis. The packages implement rec...
Exponential-family random graph models (ERGMs) represent a powerful and flexible class of models for...
We describe some of the capabilities of the ergm package and the statistical theory underlying it. ...
The ergm package supports the statistical analysis and simulation of network data. It anchors the st...
We describe some of the capabilities of the ergm package and the statistical theory underlying it. T...
Exponential-family random graph models are probabilistic network models that are parametrized by suf...
Exponential-family random graph models are probabilistic network models that are parametrized by suf...
Exponential-family random graph models are probabilistic network models that are parametrized by suf...
Exponential-family random graph models are probabilistic network models that are parametrized by suf...
Recent advances in computational methods for intractable models have made network data increasingly ...
Exponential-family random graph models are probabilistic network models that are parametrized by suf...
Exponential-family random graph models (ERGMs) are probabilistic network models that are parametrize...