Greetings,
I am wondering if anyone has written programs to automate model fitting
with the sem package, where one could specify a 'saturated' model and
sequentially fit models with different combinations of parameters
removed, while outputting fit data/parameters involved for each model.
Than
Greetings,
I am working in the sem package on a model with 3 exogenous variables (2
are nominal-categorical), and 4 endogenous, continuous variables. To
use sem with the nominal variables, I created dummy variables. Now, in
my sem output I have estimates for path coefficients for the
relatio
Hi,
I would like to use the sem package to perform a path analysis (no
latent variables) with a mixture of 2 nominal exogenous, 1 continuous
exogenous, and 4 continuous endogenous variables. I seek advice as to
how to calculate the appropriate covariance matrix for use with the sem
package.
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