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So 0.06 would be 1 significant figure (number of digits required after leading 0s) so plug that in and see what it says.
Best wishes,
Bill.

P.S. As you say the Brooks Draper diagnostic is how long is required to be confident to quote your estimate as in this case 0.064 rather than say 0.065 or 0.063 which given your effect is non-significant anyway i.e. the SD here is 0.321 and 95% CI is -0.532 to 0.713 might not be really that importan...

Morning Manuel, The purpose of thinning is largely just to make things feasible due to memory constraints etc. so ideally we wouldn't thin at all but clearly the computer then has to store a lot of numbers. As you rightly say we use running totals for ALL iterations to construct the point estimate a...

Hi John, It is quite common for people to fit random effects to a set of units even if the sampled units are in fact the population. Arguments are made that for example the data is a snapshot in time and thus there would be random uncertainty. A good example is voting data where the dataset is often...

Hi Ferhat,
Happy to take a quick look if you send me the worksheet (william.browne@bristol.ac.uk). We are running a workshop this week so may not be able to get back immediately.
Bill.

Hi Ferhat, Looking at your variance matrix ALL elements were 0 this means you need to make the matrix positive definite. I think in other places I have suggested making sure the off-diagonal values are 0 which will ensure all correlations are 0 HOWEVER you do need to have all the elements on the dia...

Hi FerhatTura, Chris passed on your query to me but I am not sure how much extra help I can be. Essentially to run the model in MCMC you first need to ensure that the starting values are plausible i.e. that variances are positive and that any covariance matrix is positive definite (essentially that ...

Hi, So no the data is 2-levels it is just that for fitting both multivariate response models and multinomial models MLwiN expands out the data to create a dummy level of categories/responses below level 1. The reason you are getting an error message is that when you use year within individual MLwiN ...

Sounds good and great that you get similar results to lme4. I think as long as you ensure you have unique ids everything will be fine i.e. not using the Execid number for different indiviudals in different Industries. I would then take a look at how multiple-membership works in MLwiN as you will req...

Hi Lmcrace, Yes it sounds like you may have cross classifications and multiple memberships. My only question would be whether these different 'effects' are all identifiable and how big your data is. For example I can think in education of a dataset with kids nested within classes and teachers but if...