Well, yeah ... but it doesn't necessarily follow that the result converges
to what you want. Bootstrapping extreme order statistics is an example.

-- Bert

On Thu, Mar 21, 2013 at 1:49 PM, Ista Zahn <istaz...@gmail.com> wrote:

> Hi,
>
> Just about anything can be bootstrapped, that's one of the things that
> makes bootstrapping great! Use e.g., the boot package, and bootstrap
> the product of the coefficients.
>
> Alternatively the mediation package
> (http://cran.r-project.org/web/packages/mediation/index.html) might
> help, though I'm not sure if it uses bootstrap.
>
> Best,
> Ista
>
> On Thu, Mar 21, 2013 at 3:21 PM, F.Doerwald <f.doerw...@student.rug.nl>
> wrote:
> > Hi everyone,I would like to test a mediation model, that has several
> control variables. More specifically, I would like to test the indirect
> effect with bootstrapping. However, all the packages I have found so far
> (e.g. MBESS) only allow testing a simple mediation model (One independent,
> one mediator, one dependent) so that I cannot include any controls.
> > Can somebody help me?
> >
> >
> >         [[alternative HTML version deleted]]
> >
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>
> ______________________________________________
> R-help@r-project.org mailing list
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> PLEASE do read the posting guide
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>



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm

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