[R] SEM raw moment matrix

[John Fox]

Dear Maya,

sem() computes the fit statistics that I know how to compute for a model fit to a raw moment matrix. If you know how to compute the others (and if they're defined), then you could do that youself using the object returned by sem().

I'm not sure why you want the likelihood under the model in addition to the model chisquare, but you can get the *log*-likelihood from logLik(your.model).

Finally, you don't have to compute the raw moment matrix in a separate step (if you in fact did that) if you have the original data -- you can use the data argument to sem().

I hope this helps,
 John

------------------------------------------------
John Fox
Sen. William McMaster Prof. of Social Statistics
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
http://socserv.mcmaster.ca/jfox/
	
On Fri, 23 Nov 2012 00:33:51 +0200
 Maya Abou Zeid <ma202 at aub.edu.lb> wrote:
> Hello,
> 
> I estimated a model using SEM package in R, which was fit to a raw moment matrix, and includes an intercept term. The only goodness of fit statistics that are output are Model Chisquare, AIC, AICc, BIC, CAIC, and normalized residuals.
> 
> How can I get the other goodness of fit statistics, like adjusted goodness of fit, RMSEA, and R-squared? And how can I get the final value of the log-likelihood of the model?
> 
> Thanks,
> Maya
> 
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