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Thanks Chris for your response. I have been selecting different integration methods in stata and it appears that Mode and curvature adaptive Gauss-Hermite quadrature (command: intmethod(mcaghermite)) and laplacian approximation (command: intmethod(laplace)) give results that are similar to IGLS/PQL2 ...

Dear all,
I am currently modelling a multilevel poisson model in runmlwin. I am unable to compute a very basic (one-level) poisson model in runmlwin, while linear multilevel models do seem to work. When I enter the code:

global MLwiN_path "C:\Program Files (x86)\MLwiN v2.32\i386mlwin.exe"
gen ...

Hello all,
I am modelling a multilevel negative binomial model. To check the consistency of my results, I ran the same model (same variables, same dataset) in both mlwin and stata. I was surprised to find out that the random intercepts and overdispersion factor drastically differs in stata (command ...

Dear all,

I am modelling a single level unordered multinomial logistic model in r2mlwin. Because my model is single level, I have to estimate it in first order MQL. In MQL, however, the likelihood value is not shown. To compare my results I would like to obtain a likelihood value (on the website I ...

Thanks you for the suggestion Chris. Using the debugmode=TRUE option showed the correct parameter names.

Dear all,

I'm currently modelling a mulitnomial multilevel model in R2MLwiN. My code is the following:

model = logit(se_arop_md3, denom) ~ 1 + (1 | country)
multinomial_empty <- runMLwiN(model, D = "Unordered Multinomial", data = mydata)

When I run this basic model it works. However, when I try ...

First of all, thank you very much for your extensive response.

I have used the DIC value to compare the differing versions of the model (fixed effects (no pooling), random effects partial data (dependent pooling) and complete pooling), but it did not really provide me with any robust evidence on ...

Dear all,

I am currently modelling a multilevel logistic multinomial regression model, where I try to estimate the odds on different forms of poverty over 28 different European countries.

I would like to test the appropriateness of multilevel models, whether 28 separate single level models are ...

Please note that I simulate k-1 times a large number of m, based on the variance-covariance matrix that was estimated in my model. The country level residuals, which I use to calculate the probability of belonging to the different categories of the dependent variable, are, in my specific case ...

Dear all,

I am modelling a multinomial logistic regression and I came across some problems while calculating the Variance Partition Coefficient (VPC). In the binary logistic multilevel case, the VPC is easily calculated through the simulation method, written out on page 133 of the manual. The macro ...