Search found 1338 matches
- Tue Sep 25, 2012 10:12 am
- Forum: Realcom user forum
- Topic: Multivariate Ordered regression: error matrix dimensions
- Replies: 6
- Views: 9567
Re: Multivariate Ordered regression: error matrix dimensions
Can you confirm whether you added any factors to the model before running it, as I am able to replicate the message that you saw if I have no factors, but as soon as I add one the model is estimated without errors?
- Thu Sep 20, 2012 8:49 am
- Forum: MLwiN user forum
- Topic: Residuals
- Replies: 2
- Views: 4526
Re: Residuals
Have you checked the residual output columns? It's possible that this error is due to a calculation problem with only one of the residual types and that the one that you are interested in was calculated correctly. To check wither it's the missing values in the data set that are causing the problem y...
- Thu Sep 20, 2012 8:43 am
- Forum: MLwiN user forum
- Topic: Level 2 units
- Replies: 1
- Views: 3624
Re: Level 2 units
It's possible that your data isn't sorted in the order of the model hierarchy. MLwiN generally uses the fact that the unit number has changed to determine that it is the next unit so if you had the same unit number twice, but with a different one in between it would be counted as two different units.
- Tue Sep 18, 2012 8:59 am
- Forum: runmlwin user forum
- Topic: trouble fitting cross-classified model
- Replies: 3
- Views: 5772
Re: trouble fitting cross-classified model
This is a usually caused by a Stata limit, see http://www.cmm.bristol.ac.uk/forum/viewtopic.php?f=3&t=176 for a possible workaround. Note, you should not longer need to increase the MLwiN maximum number of explanatory variables as indicated in the solution because runmlwin now sets this based on...
- Thu Sep 06, 2012 9:34 am
- Forum: MLwiN user forum
- Topic: error term
- Replies: 1
- Views: 3564
Re: error term
There are two likely causes of this error message:
1) You don't have enough worksheet space allocated (It needs at least the length of the source column to be available), in which case you can fix it by increasing the worksheet size.
or
2) The source column contains no data.
1) You don't have enough worksheet space allocated (It needs at least the length of the source column to be available), in which case you can fix it by increasing the worksheet size.
or
2) The source column contains no data.
- Fri Aug 31, 2012 8:13 pm
- Forum: Realcom user forum
- Topic: REALCOM-IMPUT install problem
- Replies: 3
- Views: 8125
Re: REALCOM-IMPUT install problem
Yes, you should receive a link to the download from info-cmm@bristol.ac.uk.
- Fri Aug 31, 2012 6:47 pm
- Forum: Realcom user forum
- Topic: REALCOM-IMPUT install problem
- Replies: 3
- Views: 8125
Re: REALCOM-IMPUT install problem
In order to use Realcom-Impute you need to first install the Matlab runtime that matches the version that it was compiled with (currently 2009a). You can obtain this by following the instructions given in http://www.bristol.ac.uk/cmm/software/realcom/#matlab.
- Fri Aug 31, 2012 8:33 am
- Forum: MLwiN user forum
- Topic: version 2.25
- Replies: 1
- Views: 3609
Re: version 2.25
It sounds like you may have set a worksheet size that is larger than MLwiN is able to allocate. I would suggest that you initially try the steps outlined in http://www.bris.ac.uk/cmm/software/supp ... ml#default to see whether that fixes the problem.
- Tue Aug 21, 2012 2:41 pm
- Forum: MLwiN user forum
- Topic: Comparing the DIC
- Replies: 2
- Views: 4332
Re: Comparing the DIC
As long as the chains have converged to a stable distribution I believe that the DIC should be comparable. You can find more information on how the DIC is calculated in section 2.2 of the MCMC manual.
- Mon Aug 13, 2012 9:51 am
- Forum: MLwiN user forum
- Topic: sample weights in logistic regression - error message
- Replies: 1
- Views: 4249
Re: sample weights in logistic regression - error message
I am not sure what is causing this specific error, however if you can provide an example worksheet that exhibits that behaviour I will look into it. Please note that we don't recommend using (R)IGLS for logistic regression for the reasons given in http://www.bristol.ac.uk/cmm/software/support/suppor...