Dear users and experts,
I know that my question is not strictly R-related, but... Is there any good strategy (preferably already implemented in R) for estimating interaction radii of a MultiStrauss model?
I have been working with function profilepl in spatstat, but I frequently have to evaluate I too many combinations of interaction radii (1000's) and not even then I am sure that I get the right answer, because either I have likelihood maxima that are very narrow (easy to miss; it is one of the cases that I fave faced), or two local maxima with a large separation among them, leading to very different answers (from inhibition to gamma parameters higher than one, which if I have properly understood, are not "desirable") or changing the evaluation grid slightly I get different (or very different) answers.
Should I just resign, take a deep breath and evaluate a grid of interaction radii of 10,000's?
Cheers,
Jos? M. Blanco
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Jos? M. Blanco-Moreno
Dept. de Biologia Vegetal (Bot?nica)
Facultat de Biologia
Universitat de Barcelona
Av. Diagonal 643
08028 Barcelona
SPAIN
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phone: (+34) 934 039 863
fax: (+34) 934 112 842
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Currently:
National Wildlife Research Center
Environment Canada
Science & Technology
National Wildlife Research Centre
1125 Colonel By Drive, Raven Rd.
Carleton University
Ottawa, Ontario, Canada K1A 0H3
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