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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. > > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/