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Indeed is very similar. This is what I am getting

"Actual update 4950 of 5000, Stored update 4950 of 5000
-2 * Loglike = nan
Actual update 5000 of 5000, Stored update 5000 of 5000
-2 * Loglike = nan
PUPN c1003 c1004
AVER c1091 b99 b100

Count = 5000
Average = nan
S.D. = nan
S.E.M. = nan

ECHO 0 ...

Hello

I am now building an Ordered Logit Model. My DV is 3 category response (0 = no support, 1 = 1 type of support, 2 = multiplex; Reference = 0). The IGLS worked. Both single-level models using IGLS and MCMC worked as well. However, when trying the MCMC I got the following error.

Below are the ...

Thank you! I'll try that

Hello
After successfully running 4 models before the one below. I am having the following error

"Error in read.dta(chainfile ) :
unable to open file: 'No such file or directory'"

What does it mean " error while obeying batch file..... at line number 197"?

The formula below is for a ...

Hi it's me again. I need to run different models for different types of outcomes of social support, and now I tried a Poisson model and it went fine, but the Neg binomial is constantly crashing.

This is the formula.
#######################################################
m8 = log(AltSupportCount ...

The "TieSameSex" was a mistake. I edited a bit the formula before submitting to simplify reading but messed it up.

I ran the following model and...

############# Random Intercept # Adding Network and Cross-level predictors #####################
m5 = logit(AltAnySupport) ~ 1 + TieIsFamily ...

I've made lots of progress with my models, but got stuck again because I cannot find how to code cross-level interactions (level 2 * level 1).
Here is my model as I ran it incorrectly assuming the use of asterisks (*)

This is my model

############# Adding Network and Cross-level predictors ...

Thank you very much! I will try this asap

I fixed it. Thanks

Hello I am building a hierarchical logistic model using social network data in which 'EgoIdentifier" is level-2, and 'AlterIdentifier' is Level-1. Formula is below

############# Variance Component Model ########################
m1 <- logit(AltAnySupport) ~ 1 + (1 | EgoIdentifier) + (1 ...