R: Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family

# Simulate Dynamic Networks using Exponential Random Graph Models (ERGM) Family

## Documentation for package ‘dnr’ version 0.3.6

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

beach | Dynamically changing network of inter personal communication among the visitors of a beach in southern California.
binaryPlot | binaryPlot
clustCoef | clustCoef
engineEdge | Implementation of simulation engine for dynamic networks using smoothing estimates of change statistics.
engineEdgeBayes | Implementation of simulation engine for dynamic networks using smoothing estimates of change statistics.
engineEdgeNS | Implementation of simulation engine for dynamic networks without using smoothing estimates of change statistics.
engineVertex | Simulation Engine for dynamic Vertex case.
engineVertexNS | Simulation Engine for dynamic Vertex case without smoothing of estimated predictor matrices.
expdeg | expdeg
ntriangles | ntriangles
paramEdge | Parameter estimation for static vertex case.
paramVertex | Parameter estimation for Vertex dynamics
paramVertexOnly | Parameter estimation for Vertex model only for a list of dynamic networks.
paramVertexOnlyGroup | Parameter estimation for Vertex model only for a list of dynamic networks.
rdNets | Blog citation network
regEngine | General purpose regression engine for the methods bayesglm, glm and glmnet
vdegree | vdegree