# dnr

### Description
This package provides functions for fitting lagged exponential family models on dynamic network data, simulation from the models and model diagnostics. 

### Funding
This package was developed with help from ARO YIP award #W911NF-14-1-0577. 

### References

* Abhirup Mallik & Zack W. Almquist (2019) Stable Multiple Time Step Simulation/Prediction From Lagged Dynamic Network Regression Models, Journal of Computational and Graphical Statistics, 28:4, 967-979, DOI: 10.1080/10618600.2019.1594834 

* Abhirup Mallik and Zack W. Almquist (2017). "An R Package for Dynamic Network Regression." Working paper. University of Minnesota. 

* Zack W. Almquist and Carter T. Butts (forthcoming). "Dynamic Network Analysis with Missing Data: Theory and Methods." Statistica Sinica. doi:10.5705/ss.202016.0108. 

* Zack W. Almquist and Carter T. Butts. (2013). "Dynamic Network Logistic Regression: A Logistic Choice Analysis of Inter- and Intra-group Blog Citation Dynamics in the 2004 US Presidential Election." Political Analysis, 21(4), 430-448. 

* Zack W. Almquist and Carter T. Butts. (2014). "Bayesian Analysis of Dynamic Network Regression with Joint Edge/Vertex Dynamics." In Bayesian Inference in the Social Sciences. Ed. by I. Jeliazkov and X.-S. Yang. Hoboken, New Jersey: John Wiley & Sons.