Search found 1344 matches
- Tue Sep 12, 2023 2:44 pm
- Forum: R2MLwiN user forum
- Topic: Need help with using R2MLwiN
- Replies: 6
- Views: 4728
Re: Need help with using R2MLwiN
If you are running it on Windows then the trial version of MLwiN should work with R2MLwiN (except that for each model you will have to click the "accept trial" button). If you are running on a Mac or Linux machine then you will need to run the trial version under Wine so that it thinks it ...
- Tue Sep 12, 2023 9:52 am
- Forum: R2MLwiN user forum
- Topic: Need help with using R2MLwiN
- Replies: 6
- Views: 4728
Re: Need help with using R2MLwiN
Although we do provide a Mac-native scripting version of MLwiN with the full version of the software this is unfortunately not the case with the 30-day trial. In order to run this on a Mac you will either need to install it in a Windows virtual machine or via Wine (see https://www.bristol.ac.uk/cmm/...
- Tue Aug 01, 2023 9:01 am
- Forum: MLwiN user forum
- Topic: Units - Using the full data set
- Replies: 3
- Views: 6430
Re: Units - Using the full data set
Could you check in the "Names" window that all of the columns used in the model (including the column "cons") are the same length? It sounds like you may have one included that only contains one row, which would result in this length being used when calculating the number of units.
- Tue Jun 27, 2023 9:23 am
- Forum: Stat-JR user forum
- Topic: Slow with imputation model
- Replies: 9
- Views: 33616
Re: Slow with imputation model
There are a couple of possible StatJR template folders: in the StatJR installation directory (for templates included with the software): C:\Program Files\StatJR\templates In the user directory (for additional user-specific templates) (C:\Users\<your username>\.statjr\templates The second of these wi...
- Fri May 26, 2023 9:33 am
- Forum: runmlwin user forum
- Topic: The model did not run properly in MLwiN. Re-run the model without the nopause option to debug the model in MLwiN.
- Replies: 3
- Views: 8446
Re: The model did not run properly in MLwiN. Re-run the model without the nopause option to debug the model in MLwiN.
Is it the first or second of your two model fits that triggers the error? If it is the first have you checked whether switching from pql2 to mql1 allows it to fit?
- Mon May 22, 2023 10:18 am
- Forum: R2MLwiN user forum
- Topic: Error in foreign:read.dta(chainfile[i])
- Replies: 2
- Views: 5998
Re: Error in foreign:read.dta(chainfile[i])
Thanks for confirming that you have found the reason for the problem that you were encountering. When we send the data to MLwiN from R we do so via a Stata .dta file, which I don't believe has a representation for a character missing value. I'd have to look into exactly what is going on but I would ...
- Mon Mar 20, 2023 10:19 am
- Forum: Stat-JR user forum
- Topic: Error running 2LevelUnordered Template in MCMCglmm and Rrstan
- Replies: 9
- Views: 35753
Re: Error running 2LevelUnordered Template in MCMCglmm and Rrstan
Are you able to provide any further details regarding the models that you are trying to fit? Is the goal to fit them within MCMCglmm?
- Thu Mar 16, 2023 8:58 pm
- Forum: runmlwin user forum
- Topic: Multilevel binomial response
- Replies: 1
- Views: 7779
Re: Multilevel binomial response
MLwiN does not estimate a level-1 variance for binomial models, instead constraining it to a fixed value. For more details see:
Apportioning Variation in Multilevel Models
and
Partitioning variation across levels
Apportioning Variation in Multilevel Models
and
Partitioning variation across levels
- Tue Feb 07, 2023 2:43 pm
- Forum: runmlwin user forum
- Topic: Weights in mcmc model of runmlwin
- Replies: 1
- Views: 6655
Re: Weights in mcmc model of runmlwin
Unfortunately, other than in conjunction with multiple-membership models, MLwiN does not support weights when using MCMC estimation.
- Thu Jan 19, 2023 5:01 pm
- Forum: runmlwin user forum
- Topic: How to set up a joint model correctly (repeated measures - outcome (1) and a later distal outcome (2))
- Replies: 2
- Views: 7345
Re: How to set up a joint model correctly (repeated measures - outcome (1) and a later distal outcome (2))
I asked George about this and he recommended the following method of replicating the model in MLwiN: // create variable to represent the intercept generate cons = 1 // combine weight and sbp responses into a single column capture drop y replace weight = 0 if weight == . replace sbp = 0 if sbp ==. ge...