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Unfortunately, other than in conjunction with multiple-membership models, MLwiN does not support weights when using MCMC estimation.

I asked George about this and he recommended the following method of replicating the model in MLwiN: // create variable to represent the intercept generate cons = 1 // combine weight and sbp responses into a single column capture drop y replace weight = 0 if weight == . replace sbp = 0 if sbp ==. ge...

We don't have a lot of information on this outside the advanced guide. What kind of extensions are you hoping to add?

MLwiN allows the worksheet columns to have different lengths, however any that are used in the model (including level identifiers, etc) must contain the same number of rows. The error message suggests that this is not the case for your model so I would suggest looking the the Data Manipulation>Names...

I checked this with George and the behaviour is expected and is covered in Snijders and Bosker . George gives the following explanation for the simplest multilevel case (two-level variance components model): The intercept is interpreted as the population average of the cluster-specific population me...

The loading procedure should be the same for both models, I think that you just don't see the loading message on the four level model because the data finishes loading before the message is displayed. The question is therefore why the data takes so much longer to load for the five level model. My su...

Would you be able to elaborate on the error that this is causing? The data should be loaded into MLwiN in both cases, however it may be that the data for the 5 level model is large enough that MLwiN has time to report the loading progress. Does the model fail to estimate, or are there problems when ...

Can you provide more details on what you are trying to do, as well as the steps that you have taken so far?

Are you able to provide a list of all of the inputs that you entered into MLPowSim so that we can attempt to replicate this?

I would recommend that you read through chapter 14 of the MLwiN user's guide which provides some examples of these type of model. If you have further questions then let us know.