> names(submodels) <- omxExtractNames(submodels)
> topModel@submodels <- submodels
>
> modelResults <- mxRun(topModel, silent=TRUE, suppressWarnings=TRUE)
Error in checkForRemoteErrors(val) :
2 nodes produced errors; first error: no slot of name ".estimation" for this object of class "MxModel"

I am running 64bit R: R 2.10.1 GUI 1.31 Leopard build 64-bit (5537).

The error occurs with either snow v. 1.84 or 1.70. Currently have the latter:

Can this error be made more specific? Does it refer to (mxData as it seems to suggest)?* If so, in which group etc. Or if the thresholds matrix of the matrix pointed to by the "thresholds" parameter of an mxFIMLObjective of a model?

nVar=3
> test = mxModel("test",
+ mxMatrix("Full", nVar, nVar, free=T, values=0.6, name="totalVariance"),
+ mxMatrix(type="Iden", nrow=nVar, ncol=nVar, name="nVarIdenMatrix"),
+ mxMatrix("Unit", nVar, 1, name="nVarUnit"),
+
+ mxConstraint( diag2vec(totalVariance) == nVarUnit, name="unityVarianceConstraint"),
+
+ mxAlgebra(solve(sqrt(nVarIdenMatrix*totalVariance)), name="iSD")
+ )

{ rank = same; visual ;cubes ;paper; general ; paragrap; sentence; numeric;series; arithmet}

i.e., {rank=same;
}

rank could also be max to force the measured boxes to the bottom of the graph

To facilitate scripting (especially the common task of adding drawing covariances between latent variables), it would be nice to have an option to exclude self from all. Given the released function, perhaps the best option would be to add a parameter:

includeSelf = F

Or have I missed an easy trick?

example of current function:
> mxPath(from=latents, arrows=2, free=T, values=1, all=T)
mxPath