[R] Re: initial values for non linear models? {was "Info_Request"}
Martin Maechler
maechler at stat.math.ethz.ch
Fri Jan 4 11:04:44 CET 2002
>>>>> "millanti" == millanti <millanti at libero.it> writes:
millanti> Hi, I'm an R user and I have to answer a question
millanti> about a problem I'm not able to solve by R code:
millanti> the command nlm(....) to fit a non linear model
millanti> requires an initial estimation of the model's
millanti> unknown parameters. But how can I have an initial
millanti> estimation?
In general, this is a very hard problem, particularly if the
dimension of your unknown parameters is large. You don't say
anything about your model which would help to help you...
nls in package nls, {i.e. you type library(nls)} has so called
self-starting models for a few classes of non-linear *regression* models.
I don't know if this helps, since nlm() is not only for regression models.
type ?selfStart
and apropos("^SS") to get a list of predefined selfstarting
models, and then, e.g. ?SSlogis
Further you may need to learn more about non-linear regression in general.
E.g.,
Bates, D.M. and Watts, D.G. (1988) Nonlinear Regression Analysis
and Its Applications; Wiley.
and -- for selfstarting (and more general, see help(gls, package="nlme") )
models
Jos\'e C. Pinheiro and Douglas M. Bates (2000)
Mixed-Effects Models in S and S-Plus; Springer.
millanti> Thanks a lot.
you're welcome.
Please, next time use R-help {if you've spent some time trying
to solve the problem yourself ..} instead,
[[also please use a more distinct "Subject:" line.]]
Martin Maechler <maechler at stat.math.ethz.ch> http://stat.ethz.ch/~maechler/
Seminar fuer Statistik, ETH-Zentrum LEO C16 Leonhardstr. 27
ETH (Federal Inst. Technology) 8092 Zurich SWITZERLAND
phone: x-41-1-632-3408 fax: ...-1228 <><
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