Error message - not enough memory PreviousNext
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 Scott Weaver posted on Thursday, September 07, 2006 - 3:16 pm
Hello,
I am tring to estimate a multinomial logistic model (simultaneously across 13 cohorts/groups). The outcome variable is observed and contains 3 categories. The predictors in the model includes a latent factor and 3 observed covariates. There are missing data on the covariates. The covariates are explicitly incorporated into the model, and I, thus, need to use montecarlo integration. I am getting this error message:
*** FATAL ERROR
THERE IS NOT ENOUGH MEMORY SPACE TO RUN THE PROGRAM ON THE CURRENT INPUT FILE. THE ANALYSIS REQUIRES 3 DIMENSIONS OF INTEGRATION RESULTING IN A TOTAL OF 0.10000E+04 INTEGRATION POINTS. THIS MAY BE THE CAUSE OF THE MEMORY SHORTAGE. YOU CAN TRY TO FREE UP SOME MEMORY BY CLOSING
OTHER APPLICATIONS THAT ARE CURRENTLY RUNNING. ANOTHER SUGGESTION IS CLEANING UP YOUR HARD DRIVE BY DELETING UNNECESSARY FILES.
I reduced MONTE (1000) to MONTE (500), but got a similar (though a little different) error message. . I am using a P4 computer with 1 GB of RAM and relatively few background programs running. What can I do or what specs for a computer do I need in order to run this model?

If I do not bring the covariates into the model (leave them as X variables) and use standard integration, the model runs, but I loose over 1000 cases (out of N > 20,000) who are missing data on the covariates.

Thank you!

Scott
 Bengt O. Muthen posted on Friday, September 08, 2006 - 8:49 am
3 dimensions of integration combined with a large sample size of about 20K can cause this. If the missing on the covariates is important, I would try to do multiple imputations for the covariates so that you get a unidimensional integration problem. You can handle multiply imputed data in Mplus.
 Matthew Diemer posted on Wednesday, November 02, 2011 - 9:00 am
Hello,

I am receiving the "THERE IS NOT ENOUGH MEMORY SPACE TO RUN Mplus ON THE CURRENT
INPUT FILE. YOU CAN TRY TO FREE UP SOME MEMORY BY CLOSING OTHER
APPLICATIONS THAT ARE CURRENTLY RUNNING. NOTE THAT THE MODEL MAY
REQUIRE MORE MEMORY THAN ALLOWED BY THE OPERATING SYSTEM." error message, and I'm not sure why I am, considering the analysis I am running. My machine meets the system requirements listed on the statmodel website.

I have about 450 participants, 120 variables, 72 of which are categorical. I am fitting the 72 categorical variables (declared as such in my input) onto 12 factors, with 6 variables per factor in a CFA. Missing data is very minimal, and the observed variables are not very skewed or kurtotic.

The factor structure is "known" as this is a measure that's been around for some time. My goal is to work toward a second-order factor analysis, which I can't do without fitting the first-order factors.

I have built up the model, factor by factor, but when I get up around 7 factors it slows down a lot, and when I try to fit all 12 I receive that error message.

I am surprised that I am receiving this message, as I have run much more complex analyses in MPlus before. This makes me think that I might be missing something?

Any suggestions would be appreciated.
 Linda K. Muthen posted on Wednesday, November 02, 2011 - 1:29 pm
Please send the output and your license number to support@statmodel.com.
 Scarlett Lee posted on Tuesday, February 05, 2013 - 1:52 am
Hell,
I am tring to get estimations of a forced-choice questionnaire.
The questionnaire is partial ranking format,so participants selected two(most-least) of four categories(items).
I have 20 factors, 136 items, and about 5000 participants.
When using ULSMV or WLSMV with parameterization=theta, I get the following message.


INPUT READING TERMINATED NORMALLY



Test ipsative

*** FATAL ERROR
THERE IS NOT ENOUGH MEMORY SPACE TO RUN Mplus ON THE CURRENT
INPUT FILE. YOU CAN TRY TO FREE UP SOME MEMORY BY CLOSING OTHER
APPLICATIONS THAT ARE CURRENTLY RUNNING. NOTE THAT THE MODEL MAY
REQUIRE MORE MEMORY THAN ALLOWED BY THE OPERATING SYSTEM.
REFER TO SYSTEM REQUIREMENTS AT www.statmodel.com FOR MORE
INFORMATION ABOUT THIS LIMIT.

I would highly appreciate it if you could give me some advice.
 Linda K. Muthen posted on Tuesday, February 05, 2013 - 1:50 pm
The the ULS estimator. This is a large problem depending on the configuration of your computer.
 Scarlett Lee posted on Wednesday, February 06, 2013 - 9:17 am
My computer has 8GB of memory.
If I wanna compute a large model and big data, doesn't it run depending on the computer and does adding more RAM to my computer make it run?
Thanks.
 Linda K. Muthen posted on Wednesday, February 06, 2013 - 11:52 am
How much RAM is used depends on the operating system. See System Requirements on the website for further information about how much RAM can be accessed.
 Melanie Wall posted on Thursday, August 22, 2013 - 4:06 pm
We are having an "out of memory" problem for an EFA with 178 with dichotomous indicators specified as categorical and estimation using the default WLSMV. The sample size is 50,000 and it won't run even for 1 factor. We are able to get it to run for ULS, but why the out of memory problem for WLSMV? Any ideas?
 Linda K. Muthen posted on Friday, August 23, 2013 - 10:50 am
The weight matrix for this problem which is needed for chi-square and the standard errors is vary large. You can use ULSMV if you want standard errors and chi-square. I think that will work. Or you can use WLSMV with the NOCHI and NOSERROR options of the OUTPUT command.
 Bengt O. Muthen posted on Friday, August 23, 2013 - 11:08 am
Or, with a small number of factors, use ML. Or, use Bayes.
 Cecily Na posted on Friday, August 30, 2013 - 6:06 pm
Hello professors,
I'm trying to do multiple imputation for a data set with 50-60 variables, some of which are categorical. The sample size is 12,000. I requested 5 imputed data sets. Then I received an error message of short of memory space. I have 16GB of memory space. What can be the problem and the solution?

Also, how can I impute dichotomous variables, such as gender? Do I classify them as nominal? And what type of analysis (basic?) should I choose?

Thank you very much!
 Linda K. Muthen posted on Sunday, September 01, 2013 - 10:13 am
Please send the input to support@statmodel.com.

You can specify that a variable is categorical in the IMPUTE list.
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