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Re: st: RE: Stata 13.1


From   Alfonso Sánchez-Peñalver <alfonso.statalist@gmail.com>
To   Stata List <statalist@hsphsun2.harvard.edu>
Subject   Re: st: RE: Stata 13.1
Date   Wed, 30 Oct 2013 14:37:07 -0400

Hi again,

I have fixed the problem. It seems as if Mavericks doesn’t have administrators with the right of writing into the directory. I have changed the permissions of the /Applications/Stata/ directory, and subdirectories within (ado and docs) so that administrators can both read and write.

In case someone else needs to do this, the best way is to right click on the /Applications/Stata/ directory, then click on Get Info. That will open a window. Scroll to the bottom, and you will need to double click on the lock at the bottom right and enter your password to unlock it. To the right of the “admin” user, right click on the privileges dropdown (mine said Read only) and select "Read & Write”. Now click on the dented wheel below the list of users, and select “Apply to enclosed items…”. It asks you if you are sure, so confirm that you are. Double click on the lock again to protect from changes in the permissions. Now run the update and it should work well.

Best,

Alfonso Sanchez-Penalver

On Oct 30, 2013, at 2:24 PM, Allred, Elizabeth <lizard@hsph.harvard.edu> wrote:

> Great stuff! Thanks Bill, Vince and the Stata Development Team!!
> 
> Liz
> 
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of William Gould, StataCorp LP
> Sent: Wednesday, October 30, 2013 1:54 PM
> To: statalist@hsphsun2.harvard.edu
> Subject: st: Stata 13.1 
> 
>    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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