Is there any way to get a progress bar for the imputation progress in the command line version of Amelia? I'd like to be able to estimate how long the whole imputation process will take. For loops, one can use the following for a progress bar: pb <- txtProgressBar(min = 0, max = 999999, style = 3) for (i in 1:999999){ setTxtProgressBar(pb, i) } Is there an option to get a progress bar for a single or multiple imputations in the command line version of Amelia? Thanks! -- Amelia mailing list served by HUIT [Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=amelia More info about Amelia: http://gking.harvard.edu/amelia Amelia mailing list Amelia(a)lists.gking.harvard.edu To unsubscribe from this list or get other information: https://lists.gking.harvard.edu/mailman/listinfo/amelia

Isaac, As Matt said, it's not really possible to know how many iterations will be necessary in any particular (bootstrapped) dataset. However, it can be useful to set the amelia option "p2s=2" for a rough metric. The p2s stands for "print to screen" and changes the amount of output given (0=minimal, 1=normal, 2=more detailed). At level 2, you will see in parentheses after each iteration number, how many parameters "have not converged" by which I mean, how many parameters in the imputation model changed significantly between the last two rounds. Convergence is reached when none of the parameters are moving beyond a small tolerance, that is, this number reaches zero. So it behaves a little like a "progress bar" but like most progress bars, does not actually move at constant linear rate; a lot of your time can be spent waiting for the hardest parameters, just like many progress bars can often frustratingly spend most of it's time tantalising you at 90% completed. As a diagnostic tool, if when you start looking at this, you find that much of your time is spent waiting for one or two last parameters to converge, you might add (or adjust) a small empirical prior (see the option empri). James. -- James Honaker, Senior Research Scientist //// Institute for Quantitative Social Science, Harvard University ________________________________________ From: amelia-bounces(a)lists.gking.harvard.edu [ amelia-bounces(a)lists.gking.harvard.edu] On Behalf Of Matt Blackwell [ m.blackwell(a)rochester.edu] Sent: Wednesday, February 20, 2013 5:31 PM To: Isaac Petersen Cc: Amelia Mailing List Subject: Re: [amelia] Progress Bar in Amelia Hi Isaac, Unfortunately not. It's difficult to know before an imputation starts how long it will take because this depends on the data itself. That is, there isn't a fixed number of iterations per imputation. Hope that helps! Cheers, matt. ~~~~~~~~~~~ Matthew Blackwell Assistant Professor of Political Science University of Rochester url: http://www.mattblackwell.org On Wed, Feb 20, 2013 at 5:24 PM, Isaac Petersen &lt;dadrivr(a)gmail.com&lt;mailtomailto: dadrivr(a)gmail.com&gt;&gt; wrote: Is there any way to get a progress bar for the imputation progress in the command line version of Amelia? I'd like to be able to estimate how long the whole imputation process will take. For loops, one can use the following for a progress bar: pb <- txtProgressBar(min = 0, max = 999999, style = 3) for (i in 1:999999){ setTxtProgressBar(pb, i) } Is there an option to get a progress bar for a single or multiple imputations in the command line version of Amelia? Thanks! -- Amelia mailing list served by HUIT [Un]Subscribe/View Archive: http://lists.gking.harvard.edu/?info=amelia More info about Amelia: http://gking.harvard.edu/amelia Amelia mailing list Amelia@lists.gking.harvard.edu<mailto:Amelia@lists.gking.harvard.edu> To unsubscribe from this list or get other information: https://lists.gking.harvard.edu/mailman/listinfo/amelia