Hi,
I’m using runmlwin with Stata15, and when you look at the table in Stata the random effects seem to be reporting two variances and no covariances. When I use e(RP2) I see that the covariances have been set to zero (although I think they have actually been estimated correctly, but mis-labelled ...
Search found 5 matches
- Wed Dec 13, 2017 10:53 am
- Forum: runmlwin user forum
- Topic: Stata 15 runmlwin problem
- Replies: 3
- Views: 7997
- Tue Sep 18, 2012 6:49 pm
- Forum: runmlwin user forum
- Topic: trouble fitting cross-classified model
- Replies: 3
- Views: 6559
Re: trouble fitting cross-classified model
Thank you both! All running fine now (even the three-way model). Thanks again for your help.
- Tue Sep 18, 2012 7:43 am
- Forum: runmlwin user forum
- Topic: trouble fitting cross-classified model
- Replies: 3
- Views: 6559
trouble fitting cross-classified model
Hi,
I have data with level 1 as individuals, clustered within three different residential areas (at three different ages). There are approx 4000 people, and ~1000 areas per timepoint. I am trying to fit a cross-classified model, starting with only including two of the areas.
I have:
matrix b = (1.,0 ...
I have data with level 1 as individuals, clustered within three different residential areas (at three different ages). There are approx 4000 people, and ~1000 areas per timepoint. I am trying to fit a cross-classified model, starting with only including two of the areas.
I have:
matrix b = (1.,0 ...
- Tue Nov 22, 2011 2:46 pm
- Forum: runmlwin user forum
- Topic: Error message: cannot allocate rmatrix(ws)
- Replies: 1
- Views: 4780
Error message: cannot allocate rmatrix(ws)
I am running a complex polynomial model using runmlwin. Unfortunately it keeps getting an error "cannot allocate rmatrix(ws)". I checked the internet and found that the CMM recommends increasing the worksheet size. I changed the worksheet size to very large (10000) and clicked the button "Use as ...
- Fri Nov 11, 2011 2:55 pm
- Forum: runmlwin user forum
- Topic: Multivariate model with binary and cts utcomes
- Replies: 3
- Views: 7764
Multivariate model with binary and cts utcomes
We are trying to fit a multivariate model to jointly model 1 discrete (binary) outcome and 1 continuous (repeated measure) outcome.
We can do a multivariate model with two continuous outcomes fine:
runmlwin (score1 cons , eq(1)) (score2 cons, eq(2)) , level2 (id: (cons, reset(none) eq(1)) (cons, eq ...
We can do a multivariate model with two continuous outcomes fine:
runmlwin (score1 cons , eq(1)) (score2 cons, eq(2)) , level2 (id: (cons, reset(none) eq(1)) (cons, eq ...