[Rd] (PR#8877) predict.lm does not have a weights argument for

[Peter Dalgaard]

Prof Brian Ripley <ripley at stats.ox.ac.uk> writes:

> > (e) Inverse probability weights: Knowing that part of the population
> > is undersampled and wanting results that are compatible with what you
> > would have gotten in a balanced sample. Prototypically: You sample X,
> > taking only a third of those with X > c; find population mean of X,
> > (or univariate regression on some other variable, which is only
> > recorded in the subsample).
> 
> I would call this an example of case weights (you are just weighting
> cases and saying `I have 1/p like this', and in rlm there is a
> difference between (a) and (b) and you would want to use
> wt.method="case" for (e)).

No it's not quite the same. One is "I have 3 of these", the other is
"I have looked at one case, but it comes from a population that I know
is undersampled by a factor of 3". Standard error of estimates will be
considerably different.

-- 
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