Not that I know of. However, remember, the RAM format is just a matrix.
It's fairly simple to write some code to scan through and make changes to
models. For example, here's something to delete a specified path. It
should be fairly simple to run through a set of paths, delete them
piecewise, fit the model, and then get a BIC (or other information
criterion) to create a BIC table. Then again, those wouldn't be a priori
models, and might violate some of the spirit of using information
criteria...
delete.model.element<-function (delete.text, old.model, sort.by="path") {
#determine what sort of model element we'll be evaluating
col.index<-0
if(sort.by=="path"){col.index<-1}
if(sort.by=="variable"){col.index<-1}
if(sort.by=="coefficient"){col.index<-2}
if(col.index==0) stop("Cannot delete a ", sort.by)
#blank vectors to start with
col1<-vector()
col2<-vector()
col3<-vector()
#purge spaces from delete.text
delete.text<-strip.white(delete.text)
for (line.num in 1:length(old.model[,1])){
#purge spaces from the relevant line, just in case this is a
path
old.model[line.num, col.index]<-strip.white(old.model[line.num,
col.index])
#see if this is a line to be deleted
if(!(delete.text %p.in% old.model[line.num, col.index])){
col1<-c(col1,old.model[line.num,1])
col2<-c(col2,old.model[line.num,2])
col3<-c(col3,old.model[line.num,3])
}
}
#now turn the columns into a RAM model
ram<-cbind(col1, col2, col3)
class(ram)<-"mod"
return(ram)
}
Donald Braman-2 wrote:
>
> I'm coming from the AMOS world and am wondering if there is a simple
> way to do multiple hypothesis testing in the manner of BIC analyses in
> AMOS using the sem package in R. I've read the documentation, but
> don't see anything in there except for basic BIC scores. Perhaps
> someone has devised a simple way to compare the relative likelihood of
> all possible path-fittings within a specified set of paths?
>
>
>
--
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