This package is an extension to the package ergm which takes the block information into consideration for ERGMs. The implementation is based on the ergm.userterms package. In this package, several (block) models are considered. They include Beta model, block Erdos-Renyi, block Beta, block Markov random graph models under different assumptions. The first three models are those assuming independence between edges. The block Markov random graph models assume dependence within blocks,independence or dependence on between block edges. The package implement these models by taking different terms in the model. See blkergm.terms for explanation of those terms. Also see statnet,ergm and network for more information on how to use ERGMs to analyse social network data.
These functions are required for the interface between ergm package and ergm.userterms package.These functions are written for the purpose of initialize the terms in particular models.See blkergm-terms for more information.
blkergm-terms
(Package: blkergm) :
The terms for the ERGM package for fitting models with block structures
This package contain R functions and terms used for fitting block ERGMs. Depending on different dependence and homogeneous assumptions on the model, the models include different terms. The package consider these assumptions and codes the terms using the "ergm.userterms" package to give an easy user interface to fit block models.The meaning and usage of these terms are listed below.
providing 
.