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Hi Richard,

Many thanks for your detailed response to my questions. I will have a look at my options both computationally and as per specifying the model and let you know how I go.

Shane

Hi Richard, Yes, it did at about the 27 hour mark. I think part of the issue may be that I am running Statjr via Virtual Box on a MacBook Air. It seems that it may not be able to access multiple processors via this set up. Not sure what to do. I can try and get access to a faster PC, but not sure ho...

Hi, I have set up a model in 2level impute, but it is really slow. I even set it up as 2 imputed datasets, 10 iterations between imputations, 10 burn in and 20 iterations of MOI just to get a test response and it is still going after 27 hours. It seems that this approach may be unworkable if I use s...

Fixed it!

Many thanks

Shane

Hi Richard, I couldn't get the screenshot to get all the text, so have cut and pasted below: 24c0286534333063e7551f49.cpp:1192:22: error: expected initializer before '_STATE ' long* idmapdata_@_STATE = (long*) idmapdata_@_STATE_array->data; ^ c:\users\shanev~1\appdata\local\temp\ShaneVersion\python2...

Hi, Have gone through installation instructions a couple of times. I have noted thread below regarding newer version of MinGW, which I have used. I have also created a new user account with no spaces in the name. When I run a 2level impute I get the following error message: CompileError: error: Comm...

Hi Chris, I am running a number of variations of a two level logistic model and would like to make comparisons between the coefficients across the models. As we discussed before, making such comparisons is complicated in logistic multilevel models because the fixed variance at the lowest level cause...

Hi,
Apologies in advance if this should be obvious to me. How can I calculate the variance of the linear predictor for a logistic 2 level model in MLwiN?

thanks
Shane

Hi, I am running a logistic multilevel model with approximately 200,000 individuals nested in 50 states. My interest is in the state level coefficients as contextual explanatory variables. A complicating factor is that 23% of the cases are individuals that are further clustered by household (usually...

Thanks, I had somehow managed to overlook that