Hi all,
Thanks to Thomas for pointing out to the sg44.1 package. I did update the
package from the proper website. Though I ws looking to use my own random
numbers, these ado files are useful because I can modify them to use my
own rnd #s quite easily.
However, out of the many distributions covered by this package, I did not
find one for negative binomial. I was wondering if anyone has any code to
generate this distribution. Thanks,
Anirban
______________________________________
ANIRBAN BASU
Doctoral Student
Harris School of Public Policy Studies
University of Chicago
________________________________________________________________
On Fri, 23 Aug 2002, Steichen, Thomas wrote:
> Roger Harbord writes that there are issues involved in properly
> installing the -rnd- package. Others have adequately replied to
> the general problem of STB programs not always being updated;
> I'll not address that further.
>
> I should apologize, though, for pointing Anirban to the STB 41
> reference. Clearly I should have remembered that the latest
> version was elsewhere, since I stimulated the changes therein.
>
> Nonetheless, despite Roger's P.S. (below), I still believe that
> the -rnd- package is the best resource for solving Anirban's problem.
>
> > P.S. None of this is in fact relevant to anirban basu's
> > original query as he explained in his second message that
> > he wants to use his own random numbers, not the
> > -rnd- package. I've no ideas on that - sorry anirban.
>
> Anirban's original message was:
>
> > I was wondering if there is any easy way to generate random
> > variates for Poisson, Negative Binomial and Inverse Gaussian
> > distributions where E(y) = mu = exp(xb) in Stata.
>
> This is precisely what -rnd- does. The only issue might be that
> -rnd- generates a new dataset of a specified size containing the
> random variates. As far as I know, there are not functions
> available to generate individual random variates. If Anirban
> requires a _single_ random variate (rather than a dataset of
> random variates), his only recourse is to modify the -rnd- code
> to generate the single variate, stuff it into a returned value,
> and pick it up in his own program.
>
> Tom
>
>
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