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Re: st: Stata 13.1
Alfonso Sánchez-Peñalver <firstname.lastname@example.org>
Stata List <email@example.com>
Re: st: Stata 13.1
Wed, 30 Oct 2013 14:24:20 -0400
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?
On Oct 30, 2013, at 1:53 PM, William Gould, StataCorp LP <firstname.lastname@example.org> 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:
> 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
> See the example at the Stata News:
> 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
> 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
> 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
> 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
> (Extension to psdensity)
> See in the Stata news
> 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.
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/faqs/resources/statalist-faq/
> * http://www.ats.ucla.edu/stat/stata/
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