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Dears,

I have a problem with MCMC in R2MLwiN. I want to build up three-level model with hierarchical centering (HC), but now MLwiN only allows to select one level (level-2 or level-3) to incorporate HC. The MCMC-web mentioned that it's okay to apply HC with three-level model, but I don't know how ...

Dear Chris,

Thanks. I have read the manual you mentioned, and I think maybe R2MLwiN would treat ordered factors as un-ordered categorical factors. In my case, as the predictor is not a strict ordered factor (e.g. one level of "Age" is 55+), thus I could just treat it as un-ordered categorical ...

Thanks, Chris.

The "Age" here is an ordered factor, and I have recorded it using Polynomial Coding, and there is also this function in MLwiN. And once I tick this choice when I add the individual variable, the result shows that it only estimates the coefficient of reference level (e.g. Here I ...

Dear,

Hello, I have a problem with the output of a binary model in R2MLwiN. I have recoded an ordered level-1 variable (1<2<3<4) and input it for a three level binary model using MCMC. In the output, it only shows the coefficient of its reference level but not of other three levels as for ...

Hi Paul,

It works for me now. Thanks a lot! And when I install this new version of R2MLwiN in R3.4.0, it doesn't work. However, after updating R version into R3.4.2, it works now. Just want to mention this problem here for others' reference. Again many thanks for your help.

Regards.

Diva

Hi Chris,

Many thanks for your help. And I will read the documents you suggested carefully.

I have another problem when fitting a model using R2MLwiN when I explored a random effect of one individual variable (random slope random intercept model). And the error is shown in the bottom. I have read ...

Is there anyone could give some suggestions?

Thanks.

Diva

Hello!

I have used the linearHypothesis to check the proportional odds (PO) assumption in my 2-level model.

Result of Wald test using linearHypothesis:
.......................chisq.........Pr(>Chisq)......
FP_Age2_1234 6.311407258 0.097404346
FP_Age3_1234 11.96573783 0.007501455
FP_Age4_1234 ...

Thanks a lot. It's very useful and is just what I want.

Diva

Thanks for your answer. I will try to increase the iteration number or build up more chains. Another problem is that for the new version of R2MLwiN, is there any function I could use to test the proportional odds assumption? And is it possible to compare two models estimated by IGLS (PQL2).

Regards ...