OpenMx Help

I cannot compile OpenMx from SVN.

The repository seems to be running on subversion 1.6 while I am running subversion 1.7. This makes the following version extraction command from the makefile fail:
svnversion -c | sed -e 's/[MS]//g' -e 's/^[[:digit:]]*://'
with the error:
svn: E155036: Working copy '/workspace/OpenMx/trunk' is too old (format 10, created by Subversion 1.6)

I could not found a workaround other than downgrading my subversion to 1.6. Have you encountered this?

Hi
Windows 32 bit R 2.15.0 is returning the following:

> source('http://openmx.psyc.virginia.edu/getOpenMx.R')
Installing package(s) into ‘C:/Users/woad/Documents/R/win-library/2.15’
(as ‘lib’ is unspecified)
Warning: unable to access index for repository http://openmx.psyc.virginia.edu/packages/bin/windows/contrib/2.15
Warning message:
package ‘OpenMx’ is not available (for R version 2.15.0)

Do you have a time line for support of this version?
thanks
Sarah

maybe it is too late at night, but am befuddled by this error message:

> model1 <- mxModel(model1,
+ mxAlgebra(name="fvalMZ", expression = weight * (MZ@data@observed - MZ$zpreMZ) *
+ (MZ@data@observed - MZ$zpreMZ)))
Error in .Internal(as.vector(x, "symbol")) : 'x' is missing

full code attached

Hi everybody,

I want to install OpenMx on on openSUSE 12.1 but it doesn't work. The R version is 2.13.2 and I'm not sure if the RKWard (KDE's R graphical front end) may interfere. Could you help me please?

Thanks;

Miquel Bosch

R's code output:

> source('http://openmx.psyc.virginia.edu/getOpenMx.R')
1. single-threaded
2. multi-threaded [default]
Installing package(s) into ‘/home/miquel/R/i586-suse-linux-gnu-library/2.13’
(as ‘lib’ is unspecified)
trying URL 'http://openmx.psyc.virginia.edu/packages/src/contrib/OpenMx_1.2.2-1986.tar.gz'

I fit a basic latent growth curve model (using covariance data and means) and everything seems to work fine, but the RMSEA is returning NA in the summary function. Looking at the behavior of the summary function, it appears that this is because the squaredRMSEA is less than 0 (model chi-sq=3 with df=4). I am just now in the process of learning SEM, so forgive the basic question. But I thought that RMSEA should be given as 0 if this happens, not NA. I'm sure that I'm just missing something, but what is the reasoning behind returning NA?