Hi,
I'm fitting a mixed response bivariate model in Realcom-Impute but finding that the chains for the level 2 variance parameters are taking thousands of iterations to burn in - is there any way of setting the starting values in Realcom?
Thanks
Search found 5 matches
- Wed May 22, 2013 12:54 pm
- Forum: Realcom user forum
- Topic: Starting values
- Replies: 1
- Views: 6550
- Mon Oct 17, 2011 3:05 pm
- Forum: runmlwin user forum
- Topic: How do I stop MLwiN setting residuals to missing?
- Replies: 4
- Views: 6937
How do I stop MLwiN setting residuals to missing?
Hi,
I just wondered if there was a way of stopping MLwiN from setting residuals which are too close to zero to be missing values? I know this can be done through the command interface using MISR 0 if using MLwiN directly but is there runmlwin code which will do this as well?
Thanks
I just wondered if there was a way of stopping MLwiN from setting residuals which are too close to zero to be missing values? I know this can be done through the command interface using MISR 0 if using MLwiN directly but is there runmlwin code which will do this as well?
Thanks
- Wed Oct 05, 2011 12:50 pm
- Forum: runmlwin user forum
- Topic: How do you constrain covariances to zero?
- Replies: 2
- Views: 5696
How do you constrain covariances to zero?
Hi,
I've got a multivariate response model with two levels (measurement occasion within individuals) and I'm trying to set some of the covariances of the individual level random effects to be zero. I've tried this with the elements() option at level 2 and have either got the error:
"Run-time error ...
I've got a multivariate response model with two levels (measurement occasion within individuals) and I'm trying to set some of the covariances of the individual level random effects to be zero. I've tried this with the elements() option at level 2 and have either got the error:
"Run-time error ...
- Wed Apr 27, 2011 2:58 pm
- Forum: runmlwin user forum
- Topic: Error message: too many macros
- Replies: 10
- Views: 24116
Error message: too many macros
Hi,
I'm trying to run a model with lots of dummy variables for categorical covariates and their interactions but I think runmlwin is having trouble with the number of variables as it doesn't run and gives me the error:
"too many macros"
Is there any way of getting around this or is there a limit ...
I'm trying to run a model with lots of dummy variables for categorical covariates and their interactions but I think runmlwin is having trouble with the number of variables as it doesn't run and gives me the error:
"too many macros"
Is there any way of getting around this or is there a limit ...
- Fri Nov 19, 2010 9:22 am
- Forum: MLwiN user forum
- Topic: Covariance matrix for random effects
- Replies: 0
- Views: 6881
Covariance matrix for random effects
Hi,
I have a model for repeated measurements with 2 levels, measurement occasions within individuals with a random intercept and several random slope parameters. I’ve noticed that the covariance matrix in MLwiN for the individual-level random effects in the Equations window and the correlations ...
I have a model for repeated measurements with 2 levels, measurement occasions within individuals with a random intercept and several random slope parameters. I’ve noticed that the covariance matrix in MLwiN for the individual-level random effects in the Equations window and the correlations ...