References
- Adler, D., Nenadic, O., Zucchini, W.,Gläser, C. (2007): The ff package: Handling Large Data Sets in R with Memory Mapped Pages of Binary Flat Files
- Enea, M. (2009): Fitting Linear Models and Generalized Linear Models with large data sets in R. In book of short papers, conference on "Statistical Methods for the analysis of large data-sets", Italian Statistical Society, Chieti-Pescara, 23-25 September 2009, 411-414.
- Kane, M.,Emerson, JW., Weston (2010): The Bigmemory Project, Yale University
- Kane, M.,Emerson, JW., Weston, S. (2013): Scalable Strategies for Computing with Massive Data. Journal of Statistical Software , Vol. 55, Issue 14
- Lumley, T. (2009) biglm: bounded memory linear and generalized linear models. R package version 0.7
Get Mastering R for Quantitative Finance now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.