AIC etc in multi-group RAM models

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