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re: st: Stata 13


From   "Airey, David C" <david.airey@vanderbilt.edu>
To   "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu>
Subject   re: st: Stata 13
Date   Tue, 23 Aug 2011 13:47:12 -0500

.

Maybe 13 is unlucky. Skip to v14.

<http://en.wikipedia.org/wiki/13_(number)#Lucky_and_unlucky>

#2 and #3 sound good. #3 can come out directly though.

Add nonlinear mixed models to #1, like SAS NLMIXED.

> Dear Rafal,
> here are some of my ideas for Stata 13.
> Best,
> Maurizio
> 
> 
> IDEAS FOR STATA 13
> 
> 1. New commands
> - Latent class analysis
> - Multilevel multinomial logistic regression (-xtmemlogit-)
> - Multilevel generalized linear models (-xtmeglm-)
> - Commands for fitting distributions regression-wise (see, e.g., user-written commands -skewnreg-, -skewtreg-, -invgammafit-, -betafit)
> 
> 
> 2. Improvement of existing commands
> - Extend the logic of factor variables to quantitative variables, introducing operators that represent various kinds of transformation (e.g.: cs#.varname -- cubic spline with # nodes; ln.varname -- natural logarithm). This would make it easy to use -margins- to get quantities of interest for quantitative variables (with the current set of operators, only polynomials are handled nicely by -margins-).
> 
> 
> 3. Documentation
> - A "Mata for dummies" manual -- unveiling Mata's potentialities in a plain language and with a lot of practical examples (Bill's way, so to speak) -- would be a great asset for many Stata/Mata programmers.
> 
> 


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