Handling big data sets has always been a concern for R users. Once the size of the data set reaches above 50% of RAM, it is considered “massive” and can literally become impossible to work with on a standard machine. The bigmemory project, by Michael Kane and Jay Emerson, is one approach to dealing with 



Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).