[R] Constraint on coefficient when fitting with lm, glm etc ...
Prof Brian Ripley
ripley at stats.ox.ac.uk
Fri Dec 9 00:04:03 CET 2005
I've just answered a similar question from Richard O'Keefe.
MASS p.445 shows you how to do this for logistic regression, and the
example is easy to modify.
On Thu, 8 Dec 2005, Devred, Emmanuel wrote:
> Dear R-users,
> I would like to know if there is any way to constraints optimized parameters
> using the function lm, glm or others that are written in the form:
> Lm( formula, data ...)
> As I understand, formula are of the type y ~ X1 +X2+ ... Xi (where Y, X1, X2
> ..Xi are vectors). In my case I would like the estimates of this linear
> combination computed with lm to be positives.
> I haven't found anything about it in the documentation, I would like to use
> the lm.ridge function with positives estimates.
> Would anyone have already met this problem ?
> Thank you,
> [[alternative HTML version deleted]]
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Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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