Search found 5 matches

by katetilling
Wed Dec 13, 2017 10:53 am
Forum: runmlwin user forum
Topic: Stata 15 runmlwin problem
Replies: 3
Views: 7997

Stata 15 runmlwin problem

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 ...
by katetilling
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.
by katetilling
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 ...
by katetilling
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 ...
by katetilling
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 ...