Mike Lawrence wrote:
On Sat, Nov 8, 2008 at 3:59 PM, Rubén Roa-Ureta <[EMAIL PROTECTED]> wrote:
...
The fit is for grouped data.
...
As illustrated in my example code, I'm not dealing with data that can be
grouped (x is a continuous random variable).
Four points:
1) I've showed you an approach that you can follow in order to fit a
modified (custom-made) logistic model, it's up to you to follow this
approach and modify it accordingly, it was never my intention to give
you the precise code for your problem (obviously),
2) If you do follow this approach and you keep your predictor
continuous, you have to change the line of the likelihood definition,
3) If it is really true that your predictor is a *random* variable, then
you have not a simple glmn (you may have a glmm), and
4) You can always make your continuous predictor categorical, for
example, as when you make a histogram of said predictor.
R.
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