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Time series stuff: functions used in Box-Jenkins type analyses (i.e. ARIMA)
Limited Dependent Variable and Duration models (trancated/censored models)
Lag models
Discrete dependent variable models like multinomial logit and multivariate probit
I know that most if not all of the above are already implemented, some within the basic library, the rest as user-defined functions. As a novice S+ user it would be nice to get thoroughly weaned from SAS PROCs and DOS applications like LIMDEP without having to search through all of the many S+ function libraries out there in the information jungle to find them.
Thanks for asking Charlie.
> -----Original Message-----
> From: Charles Roosen [mailto:roosen@statsci.com]
> Sent: Friday, March 27, 1998 3:02 PM
> To: s-news@utstat.toronto.edu
> Subject: [S] Possible Statistical Enhancements to S-PLUS
>
>
> Dear S-PLUS users,
>
> For this note I'm wearing the hat of statistical developer looking for
> product ideas, as opposed to company spokesmodel.
>
> We are at the point in the development cycle where we are
> assessing what new
> features to add to future versions of S-PLUS. In particular,
> I'm taking the
> lead on sorting out what new statistical functionality to
> add. I'll compile
> replies made to me personally (roosen@statsci.com), or discuss amongst
> yourselves.
>
> Some questions:
>
> 1) What statistical techniques which you use regularly are
> not available in
> S-PLUS ?
>
> 2) What "standard" techniques does S-PLUS need to be an even more
> well-rounded basic statistics package?
>
> 3) What hot new techniques should we add to S-PLUS as part of
> commitment to
> stay on the cutting edge of statistical computing?
>
> 4) What user-contributed functions in StatLib have you found
> to be of both
> high value and high quality, and thus contenders for
> inclusion in S-PLUS?
>
> Thanks,
> Charlie Roosen
>
>
> **********************************************************************
> Charles Roosen, PhD 1700 Westlake Ave N, Suite 500
> Senior Statistician Seattle, WA 98109
> Data Analysis Products Division (206) 283-8802 x254
> MathSoft email: roosen@statsci.com
> **********************************************************************
>
> --------------------------------------------------------------
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