--- On Fri, 29/1/10, Dan MacNulty wrote:
> Thanks very much for sharing your code. There is one added
> twist: my data are clustered within subject, so I'm
> estimating a random-intercept logistic spline regression. I
> assume the addition of a random effect will make knot
> estimation even more difficult, correct?
That is certainly not going to make things easier. How crucial
is it to estimate the location of the knot? There are cases
where the location of the knot/turning point is the key
research question, but in most cases we use splines to represent
a non-linear effect, in which case you are much better of by
just choosing some reasonable locations.
-- Maarten
--------------------------
Maarten L. Buis
Institut fuer Soziologie
Universitaet Tuebingen
Wilhelmstrasse 36
72074 Tuebingen
Germany
http://www.maartenbuis.nl
--------------------------
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