| getCFI.Sigma.mgroups | R Documentation |
Computes CFI given the model-implied and the observed (or population) covariance matrix for multiple group models.
CFI = (F_null - F_hyp) / F_null applying multiple group sampling weights to F_hyp and F_null.
getCFI.Sigma.mgroups( SigmaHat, S, muHat = NULL, mu = NULL, N, fittingFunction = "ML" )
SigmaHat |
a list of model implied covariance matrix |
S |
a list of observed (or population) covariance matrix |
muHat |
model implied mean vector |
mu |
observed (or population) mean vector |
N |
a list of group weights |
fittingFunction |
whether to use |
Returns CFI