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 wrote:
> Hi,
>
> Just about anything can be bootstrapped, that's one of the things that
> makes b
Dear Ista and F.Doerwald,
F.Doerwald could also fit a model using sem() in the sem package, and then use
deltaMethod() in the car package to get the estimated value and standard error
of any function of model coefficients that he or she chooses.
Sorry, I didn't read the original posting.
I hop
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
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 med
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