As I understand it, -clad- slashes at your data until
it gets subsamples that suits its purpose. What
number you start off with is not so crucial as what
subsample size it is working with.
As getting a reasonable model fit is more important
than getting the standard errors right, Vivian might
like to try her data on -qreg- first.
Nick
[email protected]
Scott Merryman
> I believe it indicates that all of the predict y_hats are less than
> the lower limit (assuming left censoring). You will need to increase
> the quantile.
Vivian Hoffmann
> > I'm trying to estimate a model using the <clad> command,
> but I get the
> > following error:
> >
> > Program did not converge,
> > trimmed sample size is smaller than number of degrees of freedom.
> >
> > even though I have 188 observations (98 non-censored) and only one
> > independent variable...
> >
> > Any ideas on why this might be happening or how to solve it?
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