Dear Gabor, dear R users,

I had already read the betareg documentation. As far as I can understand from the help, it does not allow for constrained regression.

Regards


Gabor Grothendieck wrote:
Check out the betareg package.

On Tue, Mar 16, 2010 at 2:58 PM, Corrado <ct...@york.ac.uk> wrote:
Dear R users,

I have to fit the non linear regression:

y~1-exp(-(k0+k1*p1+k2*p2+ .... +kn*pn))

where ki>=0 for each i in [1 .... n] and pi are on R+.

I am using, at the moment, nls, but I would rather use a Maximum Likelhood
based algorithm. The error is not necessarily normally distributed.

y is approximately beta distributed, and the volume of data is medium to
large (the y,pi may have ~ 40,000 elements).

I have studied the packages in the task views Optimisation and Robust
Statistical Methods, but I did look like what I was looking for was there.
Maybe I am wrong.

The nearest thing was nlrob, but even that does not allow for constraints,
as far as I can understand.

Any suggestion?

Regards

--
Corrado Topi
PhD Researcher
Global Climate Change and Biodiversity
Area 18,Department of Biology
University of York, York, YO10 5YW, UK
Phone: + 44 (0) 1904 328645, E-mail: ct...@york.ac.uk

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--
Corrado Topi
PhD Researcher
Global Climate Change and Biodiversity
Area 18,Department of Biology
University of York, York, YO10 5YW, UK
Phone: + 44 (0) 1904 328645, E-mail: ct...@york.ac.uk

______________________________________________
R-help@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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