Is there some reason you don't want to use maximum likelihood? With
the 2-parameter lognormal and no censored observations, the maximum
likelihood estimates (MLEs) are just the mean and standard deviation of
the logs. See ?fitdistr in library(MASS).
If you really want nonlinear least squares, have you considered "nls"?
In the likely event that this response does not meet your needs, I
suggest you consider preparing another question using the posting guide!
http://www.R-project.org/posting-guide.html, as it can increase the
chances of getting a more helpful reply -- if you don't find an answer
in the course of preparing a question following the guide.
spencer graves
Mark Miller wrote:
> Hi, I have been trying to figure out how to use the nonlinear regression to
> fit the cumulative lognormal distribution to a number of data points I have
> but I am a new R user and I cant quite decipher the notes on nonlinear
> regression. Any help in this regard will be greatly appreciated, my email
> address is [EMAIL PROTECTED]
>
> ______________________________________________
> R-help@stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
--
Spencer Graves, PhD
Senior Development Engineer
PDF Solutions, Inc.
333 West San Carlos Street Suite 700
San Jose, CA 95110, USA
[EMAIL PROTECTED]
www.pdf.com <http://www.pdf.com>
Tel: 408-938-4420
Fax: 408-280-7915
______________________________________________
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
