OpenMx Help

I am using a modified script for a bivariate twin analysis with two dichotomous variables.

I am stuck with the error message: "Error: In model 'Sat' I was expecting 1 thresholds in column 'nssi1' of matrix/algebra 'DZf.expThresDZf' but I hit NA values after only 0 thresholds. You need to increase the number of thresholds for 'nssi1' and give them values other than NA"

Another user had a similar issue- see previous discussion: (http://openmx.psyc.virginia.edu/thread/2953). However, I do not believe my problem has to do with the mxFactor command, factors in general, or NAs in my data.

Attached are two outputs, one from OpenMx 2.0.1.4157 using OS X on a Mac and the other from OpenMx 2.2.2 on Red Hat Linux. In both situations the models converge when I use mxExpectationNormal and mxFitFunctionML. But when I manually set the fit function to -log(likelihood) using mxFitFunctionAlgebra, mxRun crashes in both operating systems (albeit with different errors).
Am perplexed.
Greg

Why does this give an error when the code is taken directly from the documentation to mxExpectationGREML?

> require(OpenMx)
> mxVersion()
OpenMx version: 2.0.1.4157
R version: R version 3.1.2 (2014-10-31)
Platform: x86_64-apple-darwin10.8.0
Default optimiser: NPSOL
> # the following are the first three commands from the Examples from
> # the documentation to mxExpectationGREML
> dat <- cbind(rnorm(100),rep(1,100))
> colnames(dat) <- c("y","x")
>
> ge <- mxExpectationGREML(V="V",yvars="y",Xvars=list("X"),addOnes=FALSE)

I get the following error message when I tried to install OpenMx through R 3.1.1 or R 3.2.0

OpenMx/libs/OpenMx.so: undefined symbol: npoptn_

Dear All,

I am writing on behalf of a user of our local cluster.

The OpenMX install is fairly recent (just with source('http://openmx.psyc.virginia.edu/getOpenMx.R' in R). The script in question is rather long and starts with loading OpenMX:

require(OpenMx)

and subsequently snowfall:

library(snowfall)
sfInit(parallel = T, cpus = 64)
sfLibrary(OpenMx)

Hi,
I am new to 2.0 and am playing around with specifying a non-standard fit function, and have hit some road bumps in trying to start with specifying the ML fit through mxFitFunctionAlgebra. Attached is the reproducible script. Error message is:

Error: The job for model 'One Factor' exited abnormally with the error message: MxComputeGradientDescent: fitfunction One Factor.fitfunction is not finite ()

If mxFitFunctionAlgebra() is used, does it have to include a gradient specification?