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I changed the paths for the R2MLwiN file and the package library so that it doesn't have to go through "My Name" folder that includes a space. But as you can see in the Fatal error below, it still tries to open file "C:\Users\My"...

> install.packages("C:/Program Files/R/R2MLwiN_0.8-7.tar.gz ...

That did not fix the problem. I also tried the same model in other mulitply imputed dataset to see if it only works in some datasets, but it did not work in any.

That is a good alternative, thanks!

I don't have missing values for gdp_c, and also gdp_c is constant within my level 2 units. It is a level 2 variable so each level 2 unit has a single value for all level 1 units within. This is analogous to modeling complex level 1 variation (i.e., modeling level 1 variance as a function of level 1 ...

Any advice on IGLS? To get confidence intervals on the variance functions, perhaps using standard error, or other methods.

Hi,

1) I know in MLwiN, I can run additional interations after running some. For example, I run 500 burnins and 5000 iterations. But, if I find that for some parameters, I need to run more, I can just add more iterations. Can I do this in R using R2MLwiN?

I see that in R examples for MCMC manual ...

By the way, I thought the idea of using "starval" to set starting values was similar to clicking "More" after manipulate the model so I tried it but it doesn't help.

I have a two-level random slope model shown below. If I run it in R with runMLwiN, I get an error saying "V gone -ve definite for block 0 iteration aborted(fixed pass)" after about 10 minutes. If I use "debugmode=T" in the estoptions, I get MLwiN window without anything on it, and the software ...

EDIT: for the multiply imputed datasets, I confirmed that there is nothing wrong with each dataset. I ran the model in each dataset and it works fine. I think running it through a loop is causing an issue..? This is related to my new post, it's the same error, one that opens MLwiN and shows nothing ...

Hello,

I am running a complex level 2 variation model (variance at level 2 as a function of predictors). I know how to get the level 2 variance from this model and graph it. Is there a way to get confidence (or credible, if using MCMC) intervals around the variance function? I can't find any manual ...