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Hi All,

I have run a binary response model using runmlwin, on multiple imputed data. I would like to report an R-squared value for the model fit but have not been able to find a reference on how to do this from runmlwin. Is there some option I could use to calculate this value or is there a ...

Hi George,

I tried to specify less extreme starting values than the IGLS model produced, however, after changing the matrix with the stored initial values, the model still produces the same error. Is it possible that it is a similar error obeying batch file to the one listed on the following site ...

Hi Chris,

The IGLS output is as follows, and is sensible I think:


MLwiN 2.30 multilevel model Number of obs = 106
Multivariate response model
Estimation algorithm: IGLS

-----------------------------------------------------------
| No. of Observations per Group
Level Variable | Groups Minimum ...

Hi George,

Yes, this model seems to work fine. Presumably the problem is to do with the data then? The IGLS model works.

Many thanks,
Luis

Hi,

I am carrying out a bivariate response model using -runmlwin-. The code is as follows:


xi: runmlwin (mean_reach cons soc_net type_121 have_current mental_health, eq(1)) ///
(effectiveness cons type_121, eq(2)), ///
level2(SHA: (cons, eq(1)) (cons, eq(2))) ///
level1(service: (cons, eq(1 ...