R: getF

getF	R Documentation

getF

Computes the minimum of the ML-fit-function from known fit indices.

getF(
  effect,
  effect.measure,
  df = NULL,
  p = NULL,
  SigmaHat = NULL,
  Sigma = NULL,
  muHat = NULL,
  mu = NULL,
  fittingFunction = "ML"
)

`effect`	magnitude of effect
`effect.measure`	measure of effect, one of `'fmin'`, `'rmsea'`, `'agfi'`, `'gfi'`, `'mc'`
`df`	model degrees of freedom
`p`	number of observed variables
`SigmaHat`	model implied covariance matrix
`Sigma`	observed (or population) covariance matrix
`muHat`	model implied mean vector
`mu`	observed (or population) mean vector
`fittingFunction`	one of `ML` (default), `WLS`, `DWLS`, `ULS`

Returns Fmin