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Re: st: Stata 13.1


From   Alfonso Sánchez-Peñalver <alfonso.statalist@gmail.com>
To   Stata List <statalist@hsphsun2.harvard.edu>
Subject   Re: st: Stata 13.1
Date   Wed, 30 Oct 2013 14:24:20 -0400

Hi William,

I am having trouble installing this update. I am using Stata SE 13 for Mac in Mac OS X v. 10.9, i.e. Mavericks. The message I get when I type update all, and after I confirm that it is OK to close Stata is:

cannot write in directory /Applications/Stata/.tmp

The fact is that the directory doesn’t exist. I have tried creating it, but the system will not let me because it says that directory names that start with a . are reserved for system directories and asks me to enter a different name.

Is there any way around this?

Thanks

Alfonso Sanchez-Penalver

On Oct 30, 2013, at 1:53 PM, William Gould, StataCorp LP <wgould@stata.com> wrote:

>    We just released Stata 13.1.  It's a free update.  Type 
> 
>        . update query
> 
>    and follow the instructions. 
> 
>    Stata 13.1 has new features in three areas, 
> 
>        1.  Added features to -power- for handling ANOVA models and 
>            for adding your own statistics. 
> 
>        2.  More models for handling censored continuous outcomes.
> 
>        3.  Added univariate time-series commands. 
> 
> 
> 
> 1.   Added features in -power-
> ------------------------------
> 
>    First, Stata's -power- command, Stata's command for performing
>    power and sample size analysis, now handles ANOVA models: one-way,
>    two-way, and repeated-measures models.
> 
>    Specify any two of (1) sample size, (2) power, or (3) effect size
>    and you can calculate the third, and you can calculate over ranges
>    of the variables to produce tables and graphs.
> 
>    For more about this new feature, see the Stata News:
> 
>    http://stata.com/stata-news/news28-4/power-and-sample-size/
> 
>    Second, the other new feature is the one Yulia Marchenko has been
>    talking about at the recent User Meetings and Stata Conference:
>    the ability to add you own tests and statistics to -power-.  Write
>    one program to calculate the power, sample size, or effect size,
>    and then -power- will produce all the fancy output, tables, and
>    graphs.
> 
>    See the example at the Stata News:
> 
>    http://stata.com/stata-news/news28-4/custom-methods-power-and-sample-size/
> 
> 
> 2.  Censored continuous outcomes
> --------------------------------
> 
>    With censored outcomes, the exact values for some subjects are not
>    observed; one knows only that the value is in a certain range, or
>    bottom coded, or top coded.  Incomes are known up to $100,000 and
>    top coded after that.
> 
>    Stata 13 already had commands for dealing with censored outcomes.
>    These included -tobit-, -intreg-, -ivtobit-, and more.
> 
>    What's new in Stata 13.1 is all the things you can do, models you
>    can fit, and data you can use use with censored outcomes:
> 
>        1.  Panel data and random coefficients.  Stata 13 had
>            -xtintreg-, which allowed for random effects, meaning
>            random intercepts with censored outcomes.  Now you can
>            handle models with random coefficients, too.  And you now
>            have random intercepts and random coefficients at multiple
>            levels of the data.
> 
>        2.  Selection models.  Stata 13 had selection models.  Now it
>            has selection models combined with censored outcomes.
> 
>        3.  Average Treatment Effects (ATEs).  We added
>            treatment-effects estimators in Stata 13; Stata 13.1
>            provides treatment-effects estimation with censored
>            outcomes.
> 
>        4.  Endogenous covariates.  Stata obviously had lots of
>            commands that deal with endogenous covariates.  As far as
>            endogenous covariates and censored outcomes, Stata 13 had
>            -ivtobit-.  New features allow for interval measured data.
> 
>        5.  Multivariate models.  Stata 13 had -mvreg-, -sureg-, and
>            -reg3-.  Now we have all of those features for censored
>            outcomes.  Some or all of the outcome variables can be
>            censored.
> 
>        6.  Endogenous switching models.  You have one process
>            describing one regime, another process describing another
>            regime, and perhaps a third process describing a third
>            regime; and you have a process that describes regime
>            assignment.  All the processes are potentially correlated.
>            In Stata 13 you could fit these models.  In Stata 13.1 you
>            can fit them with censored outcomes.
> 
>    Here's the big news:  all these new features can be combined.  You
>    can even fit a tobit model with random effects, random
>    coefficients, sample selection, and endogenous covariates.
> 
>    All of the above is available due to the new features we have added
>    to -gsem-.  The manual has been updated, too.  Also see the examples
>    presented in the Stata News at
> 
>    http://stata.com/stata-news/news28-4/censored-outcomes-and-tobit/
> 
> 
> 
> 
> 
> 3.  Added univariate time-series commands
> -----------------------------------------
> 
>    Two new commands and an extension to two others calculate, 
> 
>        1.  IRFs for ARIMA and ARFIMA models.  
>            IRF stands for Impulse-Response Function.
>            (Extension to -irf-).
> 
>        2.  Parametric autocorrelation graphs after fitting ARIMA and
>            ARFIMA models.  
>            (New command -estat ac-.)
> 
>        3.  Stability checks after fitting ARIMA models. 
>            (New command -estat aroots-.) 
> 
>        4.  Parametric spectral densities after fitting seasonal ARIMA
>            models.  
>            (Extension to psdensity)
> 
>     See in the Stata news
> 
>        http://stata.com/stata-news/news28-4/time-series/
> 
> 
> 
> Oh, by the way, we've added three more noncentral chi-squared functions
> 
>          nchi2den()         density
>          nchi2tail()        reverse cumulative
>          invnchi2tail()     inverse of reverse cumulative
> 
> It's free, so what's not to like?
> 
> 
> -- Words by Bill Gould and Vince Wiggins.
>    Work by the Stata Development Team. 
> 
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