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run latent class analysis with R
3 messages · Wen Gu, Tobias Verbeke, Drew Linzer
Hi, The flexmix package should provide what you need: http://cran.r-project.org/web/packages/flexmix/index.html The package has an extensive vignette. HTH, Tobias
Wen Gu wrote:
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 at gc.cuny.edu
_________________________________________________________________ 50F681DAD532637!7540.entry?ocid=TXT_TAGLM_WL_t2_ugc_post_022009 [[alternative HTML version deleted]] ______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
poLCA is designed to work this way. There's a complete user's guide and manual on the project website at http://userwww.service.emory.edu/~dlinzer/poLCA/ http://userwww.service.emory.edu/~dlinzer/poLCA/ Thanks, Drew == Drew Linzer Assistant Professor Department of Political Science Emory University 102 Tarbutton dlinzer at emory.edu http://userwww.service.emory.edu/~dlinzer 404-727-0697
Wen Gu wrote:
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 at gc.cuny.edu
_________________________________________________________________ 50F681DAD532637!7540.entry?ocid=TXT_TAGLM_WL_t2_ugc_post_022009 [[alternative HTML version deleted]] ______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
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