OpenMx Help

trying to put OpenMxGUI into a package, i ran into a problem with the object from summary(MxModel). for some reason, the object is of class "summary.mxmodel" when all of OpenMxGUI is input using source(). in the package, however, the object is of class "table."

this is what i get when i read in the code using "source" and run the model:
> head(summary(thisOMxModel)$parameters)
name matrix row col Estimate Std.Error
1 sqrtStdE 1 1 1.9426018 0.05663194
2 sqrtStdE 2 2 2.1226024 0.08699889
3 sqrtStdE 3 3 1.8922519 0.06716601

I received an error on the 'resave-data' option in my most recent source build on OS X 10.6.7 from revision 1624.

Ryne-Estabrook:trunk Ryne$ make clean install
rm -rf build/*
rm -rf models/passing/temp-files/*
rm -rf models/failing/temp-files/*
cd build; R CMD build --resave-data=no ..
Unknown option: resave-data
Usage: R CMD build [options] pkgdirs

Build R packages from package sources in the directories specified by
pkgdirs.

Options:
-h, --help print short help message and exit
-v, --version print version info and exit

perplexed over this:

> thisOMxModel <- mxRun(thisOMxModel)
Running testModel
Error in substituteOperators(as.list(retval)) :
internal error -3 in R_decompress1
In addition: Warning message:
In substituteOperators(as.list(retval)) :
restarting interrupted promise evaluation

to get the MxModel, go to:
http://psych.colorado.edu/~carey/OpenMxGUI/weirdErrorMessage.php

everything appears normal. e.g.,
> class(thisOMxModel$MZf@data@observed$Neglect1)
[1] "ordered" "factor"
> class(thisOMxModel$MZf@data@observed$Neglect2)
[1] "ordered" "factor"

Hi, I've been playing a bit around with SEM models and open-mx and I am having some trouble with derivation of the 'saturated -2 log likelihood' output provided by the summary screen.

Shouldn't the Saturated model be zero always except for some machine error? Instead it tends to be fairly close to a model with 1 degree of freedom.

I might be misunderstanding something but for the saturated model where the Implied model under this condition is equal to the Sample covariance matrix which should yield a discrepancy function of zero.

(1) documentation for "mxMatrix" says "This functions [sic] creates a new MxMatrix object."
(2) documentation for "MxMatrix" says that it "is an S4 class."

consider:
> unit5 <- mxMatrix(name='unit5', type='Lower', nrow=2, free=FALSE, values=1)
> class(unit5)
[1] "LowerMatrix"
attr(,"package")
[1] "OpenMx"