I am using OpenMx for latent variable path modeling. I have faced two problems in the results of the summary() function, about which any help would be much appreciated:
1- When I use the "raw" data type in my mxData() function, some of the resulted fit indices (i.e., RMSEA, CFI, TLI, and Chi-square) returns "NA" as the output! However, when I change my data type to "cov" in the mxData() function, the problem is resolved and it gives me some non-"NA" values for those fit indices. I have tested this on the examples in the "OpenMxUserGuide" and I have seen the same problem there too. Is there any reason for this? or is it a bug in the OpenMx?
2- The summary() function reports very limited number of fit indices (i.e., chi-square, AIC, BIC, CFI, TLI, and RMSEA). However, many other common fit indices that reviewers usually ask for them are missing from the output of summary() (e.g., GFI, AGFI, SRMR, NFI, NNFI, 95% CI for RMSEA). I was wondering is there is any function/solution for calculating these missing fit indices in OpenMx?