Multilevel negative binomial model selection using R2MlwiN
Posted: Thu Oct 15, 2020 2:38 pm
Hi,
I am new to R/RStuido/R2MlwiN and running two-level negative binomial models. The Coef. and Std. Err. values of the independent variables are identical with MLwiN results (including intercept of the fixed and random parts) but not sure how to decide which model fits the data better as no Log likelehood and Deviance statistic is reported (i.e. NA). Without deviance statistics, is there a way of deciding which model fits the data better? Any help would be much appreciated.
Kind regards,
Ferhat
I am new to R/RStuido/R2MlwiN and running two-level negative binomial models. The Coef. and Std. Err. values of the independent variables are identical with MLwiN results (including intercept of the fixed and random parts) but not sure how to decide which model fits the data better as no Log likelehood and Deviance statistic is reported (i.e. NA). Without deviance statistics, is there a way of deciding which model fits the data better? Any help would be much appreciated.
Kind regards,
Ferhat