It'll be released in the next binary, along with other added fit indices in 'summary'. For now, you can calculate it by hand with the following formula or function:

Along the same lines, is there any option available at the moment to compute pval and chi square values for ACE model fit. I have pasted an example of the summary output as an example.

It'll be released in the next binary, along with other added fit indices in 'summary'. For now, you can calculate it by hand with the following formula or function:

sBIC (sample-size adjusted BIC) = -2LL + log((n+2)/24)

or

Along the same lines, is there any option available at the moment to compute pval and chi square values for ACE model fit. I have pasted an example of the summary output as an example.

> univACESummX

free parameters:

name matrix row col Estimate Std.Error

1 a11 ACE.a 1 1 -4.302609e-01 0.1389135

2 c11 ACE.c 1 1 -3.342676e-08 0.9382380

3 e11 ACE.e 1 1 5.466756e-01 0.1022683

4 mean ACE.Mean 1 1 3.361335e-08 0.1264393

confidence intervals:

lbound estimate ubound

univACE.StdA[1,1] 3.815964e-15 3.825054e-01 0.7105036

univACE.StdC[1,1] 9.630561e-17 2.308673e-15 0.6585438

univACE.StdE[1,1] 2.894965e-01 6.174946e-01 1.0000000

observed statistics: 38

estimated parameters: 4

degrees of freedom: 34

-2 log likelihood: 78.70771

saturated -2 log likelihood: NA

number of observations: 19

chi-square: NA

p: NA

AIC (Mx): 10.70771

BIC (Mx): -10.70161

adjusted BIC:

RMSEA: NA

timestamp: 2011-02-24 14:53:16

frontend time: 0.608 secs

backend time: 0.03200006 secs

independent submodels time: 0 secs

wall clock time: 0.6400001 secs

cpu time: 0.6400001 secs

openmx version number: 1.0.4-1540

Use the mxCompare function to compare nested models by the likelihood ratio test.

Great! Thank you!