[R] kernel smoothing of disease rates at locations

[Bert Gunter]

Caveat: Both of the following claims are subject to verification by
true experts, which I am not. But I believe:

1. If all values being smoothed are positive, then the smoother must
be also. If there are negative values, this is no longer true, and
your question needs much more detail to get an answer.

2. Just restrict the (pointwise) CI's to your desired range if they
fall outside of it. This assumes that values outside the range cannot
occur. If that assumption is wrong, again you will need to provide
much greater detail.

-- Bert

On Thu, Feb 2, 2012 at 10:09 AM, ioanna <ii54250 at msn.com> wrote:
> Is it possible to apply a kernel smoothing regression whose estimator or
> indeed the confidence intervals cannot take negative values or values
> greater than 1?
>
> Best regards,
> Ioanna
>
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-- 

Bert Gunter
Genentech Nonclinical Biostatistics

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