Re: st: -mlowess- available on SSC

[Fred Wolfe <fwolfe@arthritis-research.org>]

Nick,

Could you provide a brief comparison of the mlowess and mrunning programs 
(and running and lowess) for those of us who are not expert? Where would 
you use one as opposed to the other?

Thanks,

Fred



> -mlowess- is for lowess smoothing with multiple predictors.
> It follows -fractileplot-, posted recently.
>
> Stata 8 is required.
>
> -mlowess- computes lowess smooths of a response
> on specified predictors simultaneously; that is,
> each smooth is adjusted for the others.  Fitted
> values may be saved in new variables. By default,
> adjusted values of the response and the lowess
> smooth are plotted against each predictor.
> The approach is based on methodology for
> generalised additive models, but -mlowess- is
> primarily intended for exploratory graphics,
> rather than model fitting with inferential apparatus.
> For example, it might be useful to check whether
> predictors are worth including in a model at
> all, or as such or transformed.

Fred Wolfe
National Data Bank for Rheumatic Diseases
Wichita, Kansas
Tel +1 316 263 2125
fwolfe@arthritis-research.org


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