AIC etc in multi-group RAM models

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tbates's picture
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Joined: 07/31/2009

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