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run latent class analysis with R
2009 Feb 25
2
run latent class analysis with R
What's the best approach to running latent class analysis with R? I've downloaded both randomLCA and poLCA packages, but I am interesting in running a standard LCA with individual records (not frequency table) as input data. Wen Gu John Jay College of Criminal Justice445 West 59 StreetNew York, NY 10029 wgu@gc.cuny.edu _________________________________________________________________
Extracting the dispersion parameter
2003 Feb 23
2
Extracting the dispersion parameter
...415-338-6997 Department of Biology Lab Phone 415-338-3873 San Francisco State University Fax 415-405-0306 1600 Holloway Avenue email: efc@sfsu.edu San Francisco, CA 94132 web: http://userwww.sfsu.edu/~efc ---------- [[alternate HTML version deleted]]
Animal Morphology: Deriving Classification Equation with Linear Discriminat Analysis (lda)
2009 May 24
1
Animal Morphology: Deriving Classification Equation with Linear Discriminat Analysis (lda)
...re for the jth group, j = 1 ? k, cjo is the constant for the jth group, and x = raw scores of each predictor. If W = within-group variance-covariance matrix, and M = column matrix of means for group j, then the constant cjo= (-1/2)CjMj" (Julia Barfield, John Poulsen, and Aaron French http://userwww.sfsu.edu/~efc/classes/biol710/discrim/discriminant.htm). I am unable to navigate this last step based on the R output I have. I only have the linear discriminant coefficients for each predictor that would be needed to complete this equation. Please, if anybody is familiar or able to to help pleas...