Hi John-
Thanks for responding so quickly. Love the package by the way.
I am using R sem to model fMRI data, and I want to compare models
between conditions (i.e., to see if there is a significant difference
between specific path coefficients of two models). I believe this
amounts to what is commonly referred to as a multi-group analysis, where
two models are run simultaneously, allowing some coefficients to vary
while others are maintained. The procedure is described briefly in the
Appendix of: Pugesek & Tomer (1996). Evolutionary Ecology, 10, 387-404.
I am not sure if anova() does what I want it to.
Anthony
John Fox wrote:
Dear Anthony,
I'm not sure what you mean by a "stacked model comparison." If you mean a
model fit to multiple groups, then the answer is no. If you mean comparison
of nested models, then anova() can be used to get a LR test. See ?anova.sem.
I hope this helps,
John
------------------------------
John Fox, Professor
Department of Sociology
McMaster University
Hamilton, Ontario, Canada
web: socserv.mcmaster.ca/jfox
-----Original Message-----
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
On
Behalf Of Anthony Dick
Sent: January-06-09 2:56 PM
To: r-help@r-project.org
Subject: [R] R SEM package
Does anyone know if the sem package in R can implement a stacked model
comparison, for example as in LISREL or AMOS?
Thanks,
Anthony
--
Anthony Steven Dick, Ph.D.
Post-Doctoral Fellow
Human Neuroscience Laboratory
Department of Neurology
The University of Chicago
5841 S. Maryland Ave. MC-2030
Chicago, IL 60637
Phone: (773)-834-7770
Email: ad...@uchicago.edu
Web: http://home.uchicago.edu/~adick/
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--
Anthony Steven Dick, Ph.D.
Post-Doctoral Fellow
Human Neuroscience Laboratory
Department of Neurology
The University of Chicago
5841 S. Maryland Ave. MC-2030
Chicago, IL 60637
Phone: (773)-834-7770
Email: ad...@uchicago.edu
Web: http://home.uchicago.edu/~adick/
______________________________________________
R-help@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.