Fit indices for missing data (chi^2, RMSEA, CFI)

Great news! It took us long enough but we finally have implemented chi^2 and derived fit statistics for missing data. Ωnyx now separately estimates the log-likehood of the saturated model when data have missing values. So, we finally can offer you CFI and RMSEA under missing data.

Also, we have one thing with which we beat all other players. Now, Ωnyx has awesome background images. In the main menu bar (top of the screen), choose settings and enjoy! The images were provided by http://deathtothestockphoto.com.

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