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The survey package for R was developed to allow routine statistical analysis to account for complex sampling designs, and to provide a platform for new research. I will explain how the package represents survey designs and the importance of influence functions in thinking about and implementing survey analyses generically. I will also talk about some of the analyses the package supports and some it does not support. There will be extended time for discussion: bring your questions. Bio: Thomas Lumley is Professor of Biostatistics in the Statistics Department at the University of Auckland. He is the developer of the R survey package and most of his methods research now is in sampling and design-based inference. Thomas is originally from Australia. His PhD is from the University of Washington, Seattle, supervised by Patrick Heagerty; he then spent 12 years on the faculty there before moving to New Zealand. Thomas is a member of the R Core team, a Fellow of the American Statistical Association and the Royal Society of New Zealand, and an elected member of the ISI.