From: brunels@free.fr
Date: Wed 18 Jul 2001 - 19:50:14 EST
Message-id: <995449814.3b555bd6ee3f3@imp.free.fr>
Hi everyone,
i'm actually working on a nonlinear mixed-effects model, and beginning the
study of its sensibility.
It takes 35 input and gives a n*35 matrix of output as it's a growth model (n
is the number of days of the growth period).
Well, I have to analyse the variation of the output in relation to the
variation of the parameters of this models (first univariate then multivariate
variation) : it's a sensibility analysis ( a french word-by-word
translation ).
So, I choose one parameter, increase its value, do it one more time and again,
and for each of the 10 responses I have a curve of sensibility which i have to
calculate numerically the derivative.
I have read some books but none of them treated this scope in detail, so i
wonder :
- what are the numeric differentation methods available in this case. Are
they available on R?
- which criteria to choose for the variation step of the parameters ?
- do you have any reference of books i may consult ?
I'd be glad to receive any help from you all. Thanks.
the student i am bless your mailing-list
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