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Hi, Just want to raise past you a strange technical error I had with Realcom. I'm posting in this thread as it is a similar issue. I used Realcom to impute some variables (mixture responses) a few days ago and it worked fine, but today I tried to re-run it again, but got the following error: Error u...

Okay, will do.
When possible, could I have your views on the other issue I raised in the MLwiN user forum on the mixture distribution?
Cheers,
Manny

Hi, I'm faced with an unusual situation. I have used Realcom to impute one (hierarchical) Normally distributed variable (mean 200, 95%CI: 25 to 650, and no negative values). After imputation, I checked the imputed values and found that a substantial number of them were negative and very far from zer...

Thanks Chris, that would be great. I have another question on running mixture models using R2MLwiN. I have modelled 1continuous and 1 binary, and multiple continuous and 1 binary and 'runMLwiN' worked fine. However, when I tried to model 1 normal with multiple binary it gave me the following error: ...

Thanks Chris, I will have a go at it. On a different issue, but within the same matter. When running a mixture multilevel model (continuous and binary) using R2MLwiN, is it possible to store the residuals? I have included in the R code the option 'resi.store=TRUE', but receive the following error: e...

Hi Chris,
Thanks! Yes, I was alluding to the latter. Do you have any examples about how to call Stat-JR from a command line in R? I was particularly interested in fitting a multilevel mixture model (a mixture of continuous, binary and ordinal outcomes) using either MCMC or RIGLS.
Cheers,
Manuel

Dear all, I have two quick questions: 1. As I understood from reading page 36 from the paper 'R2MLwiN: A Package to Run MLwiN From Within R' to be published on the J. Stat. Soft., MLwiN (and R2MLwiN) can only fit multivariate mixture models which combine Gaussian and binomial responses. Notheless, I...