hi all,
Running a 2 group RAM model. Both sub-models return their fit indices in summary(), and the supermodel runs fine, with a summed objective.
However... while the supermodel knows about the submodel's observations etc (as shown in the print out below) it doesn't compute an AIC for the the supermodel
Bug/Missing code?
observed statistics: 156 estimated parameters: 79 degrees of freedom: 77 -2 log likelihood: 46372.74 saturated -2 log likelihood: NA number of observations: 6000 chi-square: NA p: NA Information Criteria: df Penalty Parameters Penalty Sample-Size Adjusted AIC NA NA NA BIC NA NA NA CFI: NA TLI: NA RMSEA: NA