[R] confidence intervals for y predicted in non linear regression

Gabor Grothendieck ggrothendieck at gmail.com
Wed Dec 5 13:52:00 CET 2007


I don't think this is referring to the nls2 package on CRAN but
rather something else.

On Dec 5, 2007 7:37 AM, Ndoye Souleymane <ndoye_p at hotmail.com> wrote:
>
> Hi, Salut,
>
> You should use the package nsl2 (only for Linux distribution)
> Vous pouvez utiliser le package nls2 (Linux seulement)
>
> Regards,
>
> Souleymane> Date: Tue, 4 Dec 2007 16:07:57 +0100> From: bady at univ-lyon1.fr> To: florencio.gonzalez at GI.IEO.ES> CC: r-help at stat.math.ethz.ch> Subject: Re: [R] confidence intervals for y predicted in non linear regression> > hi, hi all,> > you can consult these links:> http://finzi.psych.upenn.edu/R/Rhelp02a/archive/43008.html> https://stat.ethz.ch/pipermail/r-help/2004-October/058703.html> > hope this help> > > pierre> > > Selon Florencio González <florencio.gonzalez at GI.IEO.ES>:> > >> > Hi, I´m trying to plot a nonlinear regresion with the confidence bands for> > the curve obtained, similar to what nlintool or nlpredci functions in Matlab> > does, but I no figure how to. In nls the option is there but not implemented> > yet.> >> > Is there a plan to implement the in a relative near future?> >> > Thanks in advance, Florencio> >> >> >> > La información contenida en este e-mail y sus ficheros adjuntos es totalmente> > confidencial y no debería ser usado si no fuera usted alguno de los> > destinatarios. Si ha recibido este e-mail por error, por favor avise al> > remitente y bórrelo de su buzón o de cualquier otro medio de almacenamiento.> > This email is confidential and should not be used by anyone who is not the> > original intended recipient. If you have received this e-mail in error> > please inform the sender and delete it from your mailbox or any other> > storage mechanism.> > [[alternative HTML version deleted]]> >> >> > ______________________________________________> R-help at r-project.org mailing list> https://stat.ethz.ch/mailman/listinfo/r-help> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html> and provide commented, minimal, self-contained, reproducible code.
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