Hi,
I am quite new to R and would like to do nonlinear regressions with
Poisson distributed data.
I would like to estimate paramters of an equation of this type:
FR = [c*NO * exp(a+b*NO)] / [(c+NO)*(1+exp(a+b*NO))]
a,b and c are parameters, NO are input values
I found both the gnm and gnlr3 function which should be able to do this
regression but I can't manage to make it work.
How can I write my equation to fit into these functions?
If I understand it correct I have to split my equation in a "mu", a
"shape" and a "family" part for the gnlr function, but
don't have a clue
how to do this.....................
Is there maybe a different function that is better for my purpose? A
version of nls where I can choose a different distribution?
Kind Regards
Joachim
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Joachim Audenaert
Adviesdienst Gewasbescherming
Proefcentrum voor Sierteelt
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B-9070 Destelbergen
Tel. +32 9 353 94 71
Fax +32 9 353 94 95
E-mail: joachim.audenaert@pcsierteelt.be
www.pcsierteelt.be
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