Introduction to GAM and GAMM with R

Introduction to GAM and GAMM with R

  • Start: Mar 7, 2016 09:00
  • End: Mar 11, 2016 16:00
  • Speaker: Dr. Alain Zuur + Dr. Elena Ieno
  • Highland Statistics Ltd (http://highstat.com/)
  • Location: University of Konstanz
  • Room: P602
  • Host: IMPRS for Organismal Biology
  • Contact: mhieber@orn.mpg.de
Introduction to GAM and GAMM with R
Commencing with a basic introduction to generalised additive models (GAM) to analyse continuous data, count data and binary/proportional data. In the second part of the course generalised additive mixed effects models (GAMM) are introduced to analyse nested data. During the course several case studies are presented, in which the statistical theory is integrated with applied analyses in a clear and understandable manner.
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