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Re: st: Stata 13.1
From
"Dimitriy V. Masterov" <[email protected]>
To
Statalist <[email protected]>
Subject
Re: st: Stata 13.1
Date
Wed, 30 Oct 2013 13:01:23 -0700
I am also having Mac update issues with Mountain Lion:
. update all
(contacting http://www.stata.com)
Update status
Last check for updates: 30 Oct 2013
New update available: none (as of 30 Oct 2013)
Current update level: 07 Oct 2013 (what's new)
Possible actions
Do nothing; all files are up to date.
. update all, force
(contacting http://www.stata.com)
downloading executable files ... complete
downloading utility files ... complete
downloading documentation files ... complete
downloading ado files ... file
http://www.stata.com/updates8/ado/contents not found
server says file temporarily redirected to http://www.stata.com/error/404.html
r(601);
On Wed, Oct 30, 2013 at 11:24 AM, Alfonso Sánchez-Peñalver
<[email protected]> wrote:
> 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 <[email protected]> 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.
>>
>> *
>> * 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/
>
>
> *
> * 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/
*
* 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/