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The problem also exists in the random part estimations. Result obtained by MLwiN Random Part Level: state_long cons.123/cons.123 0.24907945 0.06827134 1 agecen50^1.123/cons.123 0.00349785 0.0013245 0.65697408 agecen50^1.123/agecen50^1.123 0.00011381 0.00003864 1 Result by R2MLwin The random part est...

Hi, I was trying to replicate the analysis from module 9 Practice using R2MLwiN. I used the following codes to calculate the residual for random intercept and slope: ## to calculate random intercept residual u0 <- model03@residual$lev_2_resi_est_Intercept.123/2 ## to calculate random slope residual ...

Hi, I am running a 2-level random slope cumulative logit model using R2MLwiN (level 1: individual, level 2: country). I understand that when interpreting the estimated coefficients of the model, we have to reverse the sign of coefficient before transforming it back to odds ratio. As I need to examin...

Thanks, I will have a try!

Thanks! I will have a try.

Hi, I have another question about graphing the level 2 variance for a random slope cumulative logit model. I was reading https://www.cmm.bristol.ac.uk/forum/viewtopic.php?f=7&t=1530&sid=3df12c9c7eb08774b53ac09477ba83f4 and it was mentioned that one way to do this would be to create a new dat...

Hi, I would like to know if there is any way to combine the MCMC estimates from two models (same specification, only with different seeds)? Let say I have MCMC.1 and MCMC.2 models, both of them are estimated by MCMC estimation (with 500000 iterations and burn-in = 5000) but using different random se...

Hello, I understand that I can use linearHypothesis function from the car library to calculate Wald Test for categorical variable if I use IGLS estimation. However, when I applied the same function on my result generated by MCMC estimation, it gave the following error: Error: $ operator not defined ...

Hi, I have some questions about the calculation of predicted values in runmlwin. My model has two levels (level 1: individual; level 2: country). I was trying to fit a random slope model on my data with a continuous outcome. The continuous outcome ranges between 0 and 18. There are around 10 categor...

Hi,

I would like to know if it is possible to specify sampling weight in R2MLwiN when fitting multilevel model. I know that this can be done through using the software and runmlwin in STATA. However, as I'm a R user, I also want to know how to specify weights in R2MLwiN.

Thanks.

Vivian