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Thanks Harvey.

I would also like to know if it is necessary to specify the weight natures (i.e., frequency weight, probability weight and analytic weights) in MLwiN? If not, does MLwiN deal with these weights differently?

Thanks again!

Hi, I have some questions about applying weights in MLwiN using runmlwin. My data have two levels: individual and country. For each individual in each country, there is a weight assigned to it. For each country, the total of weight equals to 1. Individuals within countries are randomly sampled but t...

Hi, I'm using R2MLwiN to fit multilevel model for my continuous outcome variable. Is there any way to perform Wald Test for categorical variables? I know it is possible to use MLwiN software to perform Wald Test, but I can't find any information from the article in the Journal of Statistical Softwar...

Hi, While I was looking for information about the p-value for MCMC estimation, I came across the following link: https://www.cmm.bristol.ac.uk/forum/viewtopic.php?f=3&t=1284&p=3459&hilit=2+tailed&sid=1888fb3d01b1e8d7e03ee3f7843b57d6&sid=1888fb3d01b1e8d7e03ee3f7843b57d6#p3459 Does...

Hi George, I have figured out why the MLwiN crash. However, I want to ask for some clarifications to make sure I did not do it in a wrong way. Suppose I have 3 dummy variables ( edu2 , edu3 and edu4 ) for the categorical variable edu (with 4 categories) and I want to calculate the predicted probabil...

Hi, I have obtained the estimates for both fixed and random effects of my model and I've used the following syntax to output the MLwiN file: saveworksheet(output.wsz) Since I've created dummy variables in my original data for all categorical variables, the output MLwiN file contains these dummy vari...

Thanks a lot.
It works for me.


Vivian

Hi, I am using runmlwin to run mlnscript on a Linux system. I am able to get the null cc ordinal multilevel model, but when I started increasing the number of explanatory variables to the model, it gives me the following error: --- End MLwiN error log --- no room to add more observations An attempt ...

So I have to specify contrast(1/3) in the 2nd level random part? Is it because the var(cons.123) is the only random part?

Thank you so much!


Vivian

Hi, I am new to runmlwin and I have a problem in running a 2-level empty model for my ordinal outcome variable. This is my code: runmlwin outcome cons, /// level2(hh: (cons)) /// level1(id:) /// discrete(distribution(multinomial) link(ologit) denominator(cons) basecategory(4) pql2) nopause runmlwin ...