I am fitting a model with one binary variable and one latent variable. The goal was to estimate the threshold (and then the proportion) of the binary variable. The following syntax worked in OpenMx 1.1.2 but failed in OpenMx 1.2 beta. Attached are the output.

Any suggestions? Thanks in advance.

Mike

######### Fitting a binary variable

library(OpenMx)

## Create n=100 binary data with p=.6

my.df
## Starting value for the threshold

st
my.df$x

prop.Model
mxMatrix(type="Full", nrow=1, ncol=2, values=c(0,1), free=FALSE, name="A"),

mxMatrix(type="Diag", nrow=2, ncol=2, values=c(1,1), free=FALSE, name="S"),

mxMatrix(type="Full", nrow=1, ncol=2, values=c(1,0), free=FALSE, name="F"),

mxMatrix(type="Full", nrow=1, ncol=2, values=c(0,0), free=FALSE, name="M"),

mxMatrix(type="Full", nrow=1, ncol=1, free=TRUE, values=st, labels="th1", name="thresh"),

mxRAMObjective("A", "S", "F", "M", dimnames=c("x","f1"),

thresholds="thresh", threshnames=c("x"))

)

prop.fit
summary(prop.fit)

######### OpenMx version (1.2 beta): "999.0.0-1876"

> prop.fit
Running Binary variable

Error in runHelper(model, frontendStart, intervals, silent, suppressWarnings, :

BLAS/LAPACK routine 'OMXUNS' gave error code -10

######### OpenMx version: "1.1.2-1818"

data:

$`Binary variable.data`

x

0:40

1:60

free parameters:

name matrix row col Estimate Std.Error lbound ubound

1 th1 thresh 1 x -0.3583366 0.1793284

observed statistics: 100

estimated parameters: 1

degrees of freedom: 99

-2 log likelihood: 134.6023

saturated -2 log likelihood: NA

number of observations: 100

chi-square: NA

p: NA

Information Criteria:

df Penalty Parameters Penalty Sample-Size Adjusted

AIC -63.39767 136.6023 NA

BIC -321.30951 139.2075 136.0493

CFI: NA

TLI: NA

RMSEA: NA

timestamp: 2011-12-28 22:30:14

frontend time: 0.1774709 secs

backend time: 0.002981901 secs

independent submodels time: 0.0001196861 secs

wall clock time: 0.1805725 secs

cpu time: 0.1805725 secs

openmx version number: 1.1.2-1818

I don't know what the problem is thus far, but we're looking into it, Mike.

ryne

This looks like a combination of a script error and a bug in OpenMx error checking.

The script error (and therefore your quick fix) is that your A matrix is non-conformable to the operation. The A matrix should be of the same order as the S matrix (in this case, 2x2), and you'll want to add two more zeros appropriately. I changed it to:

and got the same threshold estimates, std. errors, and -2 log likelihood as your listed version 1.1.2 output.

The second problem, of course, is that users should never be getting a BLAS/LAPACK error directly--OpenMx should be noticing the error condition and giving you an error message that makes more sense in your context. We'll make sure to fix this for future releases.

Thanks for your help in hunting bugs! Do you mind if we keep a modified version of this script in our test bank for the future?

Thanks, Timothy. It works fine.

Feel free to use the script.

Oops. I committed a patch to the OpenMx 1.1 and 1.2 repositories that issues the error message:

Thanks for bringing this to our attention!