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Objects of the mmSAR package (data sets, models, optimization function and model averaging function).
mmSAR overview
mmSAR is a flexible and scalable implementation of the multimodel SAR framework for species-area datasets (Guilhaumon et al. 2008).
mmSAR implements the basic elements of the multimodel inference paradigm (Burnham & Anderson, 2002) with simple R list-objects and functions. The package is scalable and users can easily create their own model and data objects.
If you are new to multimodel inference or non linear SAR fitting, a good start is the Guilhaumon et al. (2008) paper (freely available at the PNAS website), particularly the methods section and the supplementary material 
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In order to use mmSAR, a basic knowledge of R is expected. R and related documentations can be downloaded at
http://www.r-project.org/.
Although mmSAR is user friendly, the knowledge of some concepts such as functions and some R objects types such as lists is required.